XII. European Signal Processing Conference EUSIPCO-2004iii Welcome message On behalf of the Organizing Committee, it is a real pleasure and a great honour to welcome you in Vienna

XII. European Signal Processing Conference

EUSIPCO-2004

ProceedingsVolume I

September 6-10, 2004Vienna, Austria

http://www.nt.tuwien.ac.at/eusipco2004

Edited by:F. Hlawatsch, G. Matz, M. Rupp, B. Wistawel

EusipcoProc_Cover_I 04.08.2004, 10:42 Uhr1

Editorial ContentTechnische Universität Wien

Institut für Nachrichtentechnik und HochfrequenztechnikCover Design: Judith Mair, Bernhard Wistawel

Edited by: Suvisoft Oy LtdPrinted by: Robidruck, A-1200 Wien, Engerthstrasse 128

ISBN 3-200-00148-8

ftw. Forschungszentrum Telekommunikation WienDonau-City-Straße 1, A-1220 Vienna, Austriahttp://www.ftw.at

Organizers

Signal Processing and Speech Communication LaboratoryGraz University of TechnologyInffeldgasse 12/442, A-8010 Graz, Austriahttp://spsc.inw.tugraz.at/

Institute of Communications and Radio-Frequency EngineeringVienna University of TechnologyGußhausstraße 25/389, A-1040 Vienna, Austriahttp://www.nt.tuwien.ac.at

Institute of Computer Aided AutomationVienna University of TechnologyFavoritenstraße 9/2/4, A-1040 Vienna, Austriahttp://www.prip.tuwien.ac.at/


Sponsors

ISBN 3-200-00148-8


Proceedings

EUSIPCO 2004




Volume I

iii

Welcome message On behalf of the Organizing Committee, it is a real pleasure and a great honour to welcome you in Vienna for the 12th European Signal Processing Conference. Vienna, the Austrian Capital, is in the heart of Europe and in view of the recent enlargement of the European Union this has become a reality in common life. The conference site at Vienna University of Technology is near Karlsplatz with its important underground railway station, offering quick connections to other sights of Vienna, only within walking distance from Vienna`s main attractions. The university is surrounded by numerous historical buildings and exhibition sites like the Künstlerhaus, the Wien Museum, the Sezession, and the building of the Wiener Musikverein with its famous Golden Concert Hall as well as the famous baroque Karlskirche (St.Charles' Church). Besides the traditional and historical aspects, Vienna has an excellent international reputation as a highly developed research site with a special strength in the area of telecommunications and software engineering. Recently, Vienna started a number of innovative projects such as the Science and Technology Park "Tech Gate Vienna" and the Telecommunications Research Center Vienna (ftw.). The topics which have been selected by the Technical Programme Committee, by their broad scopes and diversity, show the dynamics of our disciplines. As a result of the intense efforts of Technical Programme Chairs, the Technical Programme Committee, and a large team of referees, EUSIPCO-2004 is proud to offer its attendees more than 500 papers in regular oral and poster sessions, selected from more than 900 full paper submissions. These papers cover all important

topics of today and additionally some trendy ones. Four invited Plenary Talks and twenty Special Sessions (of which nine are invited) have been organized on topics of great current interest. Ten of the Special Sessions include an Extended Talk that provides a broad and detailed view of the session's topic. Together, these Plenary Talks, Special Sessions, and Extended Talks offer an almost complete coverage of Signal and Image Processing and a sound perspective of future developments. The Technical Programme Committee and the Organizing Committee have strived very hard to make EUSIPCO-2004 a successful and memorable event. On behalf of the Signal, Speech, and Image Processing community we express our deepest gratitude for all their efforts. Chair and Co-Chairs of the Conference Wolfgang Mecklenbräuker, Hans Weinrichter, Markus Rupp

iv

Organisers Chair: Wolfgang Mecklenbräuker Vienna University of Technology Co-Chairs: Markus Rupp Hans Weinrichter Vienna University of Technology Technical Progr Franz Hlawatsch Gerald Matz Vienna University of Technology Special Sessions, Tutorials: Gernot Kubin Graz University of Technology Walter Kropatsch Vienna University of Technology Publicity, Exhibits: Markus Kommenda Judith Mair Cordula Sommer Telecommunications Research Center Vienna (ftw) MEDIA PLAN - International Exhibitions and Advertising Publications: Markus Rupp Bernhard Wistawel Vienna University of Technology Finance: Gerhard Doblinger Vienna University of Technology Local Arrangements: Thomas Zeitlhofer Vienna University of Technology Conference Secretariat: Mondial Congress Vienna

v

Technical Program Committee

Maurice Bellanger Gerard Bailly Sergio Barbarossa Horst Bischof Isabelle Bloch Thierry Blu Helmut Bölcskei Lieven De Lathauwer Renato De Mori Petar Djuric Anastasios Doulamis Pierre Duhamel Tariq Durrani Thierry Dutoit Touradj Ebrahimi Marc Engels Robert Fischer Moncef Gabbouj Alex Gershman Peter Grant Eberhard Hänsler Joachim Hagenauer Werner Henkel Ulrich Heute Thomas Kaiser Walter Kellermann Bastiaan Kleijn Hamid Krim Murat Kunt Fabrice Labeau Miguel Lagunas Philippe Loubaton Henri Maitre Stephen McLaughlin Christoph Mecklenbräuker Klaus Meerkötter Björn Ottersten Antonia Papandreou-Suppappola Fernando Pereira Fernando Pérez-González Ioannis Pitas

Zoran Salcic Thomas Sikora Torsten Söderström Massimo Tistarelli Jean-Yves Tourneret Isabel Trancoso Wolfgang Utschick Peter Vary Jean-Marc Vesin Udo Zölzer Abdelhak Zoubir

Table of Contents

Volume I

Tuesday, September7th, 2004

Plenary Lecture TueAmPS1: Coding and Signal Processing for Multiple-Antenna Transmission and Reception: Iterative Receiver Structures

CODING AND SIGNAL PROCESSING FOR MULTIPLE-ANTENNA TRANSMISSION AND RECEPTION:ITERATIVE RECEIVER STRUCTURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1Ezio Biglieri, Alessandro Nordio and Giorgio Taricco, Politecnico di Torino, Italy

Special Session TueAmSS1: Applications of Acoustic Echo ControlChair: Eberhard H änsler, TU Darmstadt

APPLICATIONS OF ACOUSTIC ECHO CONTROL - AN OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9Gerhard Schmidt, Temic SDS, Research, Germany

ACOUSTIC ECHO CANCELLATION FOR CONFERENCE SYSTEMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Akihiko Sugiyama, NEC, Japan; Akihiro Hirano and Kenji Nakayama, Kanazawa University, Japan

PASSENGER IN-CAR COMMUNICATION ENHANCEMENT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21Klaus Linhard and J̈urgen Freudenberger, DaimlerChrysler AG, Germany

CONTROLLING THE ADAPTATION OF FEEDBACK CANCELLATION FILTERS - PROBLEM ANALYSISAND SOLUTION APPROACHES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25Henning Puder and Bernd Beimel, Siemens Audiologische Technik GmbH, Germany

Session TueAmOR1: Blind EqualizationChair: Geert Leus, Delft University of Technology, The Netherlands

ON THE OPTIMAL CONSTANT NORM ALGORITHM, IN RESPECT TO THE EMSE, FOR BLIND QAMEQUALIZATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29Alban Goupil, FTR&D Rennes, FRANCE; and Jacques Palicot, Supelec Campus de Renes, FRANCE

ALPHABET POLYNOMIAL FITTING CRITERIA FOR BLIND EQUALIZATION. . . . . . . . . . . . . . . . . . . . . . . . . . 33Ludwig Rota and Pierre Comon, Laboratoire I3S, France

COMPLEXITY REDUCED BLIND MULTICHANNEL EQUALIZATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37Houcem Gazzah, University of Edinburgh, United Kingdom

BLIND EQUALIZATION OF MULTILEVEL SIGNALS USING SUPPORT VECTOR MACHINES . . . . . . . . . . . 41Marcelino Lazaro, Universidad Carlos III de Madrid, Spain; Ignacio Santamaria, Javier Via, Universidad deCantabria, Spain; and Deniz Erdogmus, University of Florida, USA

A SYMBOL BY SYMBOL CLUSTERING BASED BLIND EQUALIZER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45Kristina Georgoulakis, University of Athens, Dept. of Informatics and Telecommunications, Greece

vii

Session TueAmOR2: Image Pyramids and WaveletsChair: B éatrice Pesquet-Popescu, ENST Paris, France

DISCRETE WAVELET FRAMES ON THE SPHERE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Iva Bogdanova, Pierre Vandergheynst, ITS, Swiss Federal Institute of Technology (EPFL), Switzerland; Jean-Pierre Antoine, Laurent Jacques and Marcela Morvidone, FYMA, Univ. Cath. Louvain, Belgium

PARAMETER ESTIMATIONS FOR SUPER RESOLUTION BASED ON THE LAPLACIAN PYRAMIDREPRESENTATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 53Shuai Yuan, Yasumasa Takahashi and Akira Taguchi, Musashi Institute of Technology, Japan

IMPROVED IMAGE FUSION USING BALANCED MULTIWAVELETS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Lahouari Ghouti, Ahmed Bouridane, Queen’s University of Belfast, United Kingdom; and Mohammad Ibrahim,King Fahd University of Petroleum and Minerals, Saudi Arabia

EDGE-PRESERVING WAVELET-BASED MULTISENSOR IMAGE FUSION APPROACH . . . . . . . . . . . . . . . . . . 61Lahouari Ghouti, Ahmed Bouridane, Queen’s University of Belfast, United Kingdom; and Mohammad Ibrahim,King Fahd University of Petroleum and Minerals, Saudi Arabia

THE MULTISELECTIVITY SCHEME: A PYRAMIDAL ORGANIZATION OF WAVELETS WITH VARIABLEANGULAR SELECTIVITY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 65Jean-Pierre Antoine and Laurent Jacques, FYMA-UCL, Belgium

Session TueAmOR3: Nonlinear Signals and SystemsChair: Jonathon Chambers, Cardiff University, UK

A NOVEL SIGNAL FLOW GRAPH BASED SOLUTION FOR CALCULATION OF FIRST AND SECONDDERIVATIVES OF DYNAMICAL NONLINEAR SYSTEMS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 69Andrea Arcangeli, Stefano Squartini and Francesco Piazza, DEIT, italy

HIGH-PRECISION SURROGATE DATA BASED TESTS FOR GAUSSIANITY AND LINEARITY OFDISCRETE TIME RANDOM PROCESSES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73Yngve Birkelund, Tromsø University College, Norway; Jarle A. Johansen and Alfred Hanssen, University ofTromsø, Norway

WAVE DIGITAL FILTERS WITH MULTIPLE NONLINEARITIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77Stefan Petrausch and Rudolf Rabenstein, University of Erlangen-Nuremberg, Germany

LOW-COMPLEXITY EQUIVALENT REALIZATIONS OF NONLINEAR MULTIRATE FILTERS . . . . . . . . . . . 81David Schwingshackl and Gernot Kubin, Christian Doppler Laboratory for Nonlinear Signal Processing, Austria

RELAXED LOOK-AHEAD PIPELINED NONLINEAR CHANNEL EQUALIZER . . . . . . . . . . . . . . . . . . . . . . . . . . 85Daniel Massicotte and Thierry Dufour, Universite du Quebec a Trois-Rivieres, Canada

Session TueAmOR4: Signal ReconstructionChair: Miroslaw Pawlak, University of Manitoba, Canada

THRESHOLDING-BASED SAMPLING AND SIGNAL RECONSTRUCTION FROM MULTIPLE NOISYOBSERVATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89Luu Nguyen and Miroslaw Pawlak, University of Manitoba, Canada

viii

SEQUENCES ORDERING IN MINIMUM-PHASE SEQUENCES. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93Corneliu Rusu and Jaakko Astola, Tampere International Center for Signal Processing, Finland

RECONSTRUCTION OF NONUNIFORMLY SAMPLED BANDLIMITED SIGNALS USING TIME-VARYING DISCRETE-TIME FIR FILTERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97Håkan Johansson and Per Lowenborg, Linkoping University, Sweden

DIRECTIONAL VARYING SCALE APPROXIMATIONS FOR ANISOTROPIC SIGNAL PROCESSING. . . . . . 101Vladimir Katkovnik, Alessandro Foi, Karen Egiazarian and Jaakko Astola, Tampere University of Technology,Finland

THE INFLUENCE OF THE NON-UNIFORM SPLINE BASIS ON THE APPROXIMATION SIGNAL . . . . . . . . 105Najat Chihab, Anissa Zergainoh and Jean-Pierre Astruc, L2TI,INSTITUT GALILEE,UNIVERSITE PARIS 13,FRANCE

Session TueAmPO1: Filter DesignChair: Ewa Hermanowicz, Gdansk University of Technology, Poland

SYNTHESIS OF HYBRID FILTER BANKS FOR A/D CONVERSION: A FREQUENCY DOMAINAPPROACH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109Jean-Luc Collette, Michel Barret and Jacques Oksman, SUPELEC, FRANCE

DESIGN OF OPTIMAL IIR FILTERS IN REDUCED DIMENSIONALITY PARAMETER SPACES. . . . . . . . . . . 113Andrzej Tarczynski, University of Westminster, UK

SIMULTANEOUS APPROXIMATION OF MAGNITUDE AND GROUP DELAY IN FIR DIGITAL FILTERS . 117Minoru Akazawa, Canon Corp., Japan; and Masaaki Ikehara, Keio Univ., Japan

MIXED-DOMAIN REDUCED ORDER IIR APPROXIMATION FOR FIR FILTER . . . . . . . . . . . . . . . . . . . . . . . . . . 121Carrson Fung and Chi-Wah Kok, Hong Kong University of Science and Technology, Hong Kong

EFFICIENT GROUP DELAY EQUALIZATION OF DISCRETE-TIME IIR FILTERS . . . . . . . . . . . . . . . . . . . . . . . . 125Mauricio Quelhas, Antonio Petraglia and Mariane Petraglia, Federal University of Rio de Janeiro, Brazil

CLOSED-FORM DESIGN OF MAXFLAT R-REGULAR FIR MTH-BAND FILTERS WITH ARBITRARYGROUP DELAY USING WAVEFORM MOMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129Xi Zhang, Daisuke Kobayashi, Tatsuya Wada, Toshinori Yoshikawa and Yoshinori Takei, Nagaoka University ofTechnology, Japan

AN ITERATIVE REWEIGHTED LEAST-SQUARES ALGORITHM FOR THE DESIGN OF 2D IIR FILTERS . 133Bogdan Dumitrescu and Riitta Niemistö, Tampere University of Technology, Finland

DESIGN OF VARIABLE FRACTIONAL-DELAY DIGITAL FILTERS USING WEIGHTED-LEAST-SQUARESSINGULAR-VALUE-DECOMPOSITION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 137Tian-Bo Deng, Toho University, Japn

DESIGN OF CONSTRAINED IIR AND INTERPOLATED IIR FILTERS USING A NEW SEMI-DEFINITEPROGRAMMING BASED MODEL REDUCTION TECHNIQUE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141S. C. Chan, K. M. Tsui and K. W. Tse, The University of Hong Kong, Hong Kong

REDUCTED SEARCH SPACE FOR THE OPTIMAL DESIGN OF LINEAR PHASE FIR FILTER . . . . . . . . . . . . 145Boulerial Benaoumeur, Belbachir M. Faouzi, electronics department, USTO, Algeria; and Belbachir A. Nabil,Vienna University of Technology, Austria

ix

Session TueAmPO2: Multiuser and CDMA CommunicationsChair: Ralf R. Mueller, Telecommunications Research Center Vienna (ftw.)

BER-BASED VS. GAME-THEORETIC POWER ALLOCATION STRATEGIES FOR MULTIUSER MISOSYSTEMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 149Diego Bartoloḿe, Telecommunications Technological Center of Catalonia (CTTC), Spain; and Ana I. Perez-Neira,Technical University of Catalonia (UPC), Spain

BALANCED CAPACITY OF WIRELINE MULTIACCESS CHANNELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153Thierry Sartenaer and Luc Vandendorpe, Université catholique de Louvain, Belgium

REDUCED-COMPLEXITY GENETIC ALGORITHM AIDED AND RADIAL BASIS FUNCTION ASSISTEDMULTIUSER DETECTION FOR SYNCHRONOUS CDMA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 157Hua Wei, Mong-Suan Yee, UoS, UK; and Lajos Hanzo, Univ. of Southampton, UK

A FAST BLIND MULTIPLE ACCESS INTERFERENCE REDUCTION IN DS/CDMA SYSTEMS BYADAPTIVE PROJECTED SUBGRADIENT METHOD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 161Renato Cavalcante, Isao Yamada and Kohichi Sakaniwa, Tokyo Institute of Technology, Japan

BLIND MIMO DETECTION OF CONVOLUTIVELY MIXED CPM SOURCES . . . . . . . . . . . . . . . . . . . . . . . . . . . . 165Marc Castella, Universit́e de Marne-la-Valĺee, France; Pascal Bianchi, Supélec - Service Radiocommunications,France; Antoine Chevreuil and Jean-Christophe Pesquet, Université de Marne-la-Valĺee, France

PERFORMANCE OF PILOT EMBEDDED OFDM SYSTEMS IN SIMULTANEOUS MULTI-USERTRANSMISSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 169Chenu-Tournier Marc, THALES Communications, FRANCE; and Fijalkow Inbar, ETIS / ENSEA - Univ. de Cergy-Pontoise - CNRS, FRANCE

SPACE-TIME UMTS-FDD RECEIVER WITH WEIGHTED INTERFERENCE CANCELLATION . . . . . . . . . . . . 173Joachim Wehinger and Christoph Mecklenbräuker, ftw. Forschungszentrum Telekommunikation Wien, Austria

COOPERATIVE TRANSMISSION FOR WIRELESS NETWORKS USING POWER CONTROL ANDBEAMFORMING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177Gema Pĩnero, Carmen Botella, Marı́a De Diego, Alberto Gonźalez and Narcis Cardona, Universidad Politécnicade Valencia (ETSIT), Spain

LOW COMPLEXITY LINEAR DETECTION FOR ASYNCHRONOUS CDMA SIGNALS OVERFREQUENCY SELECTIVE CHANNELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 181Armelle Wautier, Suṕelec, France; Saloua Ammari, Bouygues Telecom, France; and Walid Hachem, Supélec,France

A ROBUST MAXIMUM LIKELIHOOD MULTIUSER DETECTOR IN THE PRESENCE OF SIGNATUREUNCERTAINTIES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185Moshe Salhov, Ami Wiesel and Yonina Eldar, Technion-Israel Institute of Technology, Israel

Special Session TuePmSS1: Large Random Matrices in Digital Communi-cations and Signal ProcessingChair: Philippe Loubaton, Univ Marne la Vall ée, France

RANDOM MATRICES, FREE PROBABILITY AND THE REPLICA METHOD . . . . . . . . . . . . . . . . . . . . . . . . . . . . 189Ralf Müller, FTW, Austria

x

DOWNLINK CDMA: TO CELL OR NOT TO CELL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 197Merouane Debbah, Eurecom Institut, France

ASYMPTOTIC ANALYSIS OF REDUCED RANK DOWNLINK CDMA WIENER RECEIVERS. . . . . . . . . . . . . 201Belkacem Mouhouche, Dept TSI, ENST, France; Philippe Loubaton, Univ Marne la Vallée, France; Walid Hachem,Supelec, France; and Nicolas Ibrahim, Wavecom, France

DESIGNING GOOD ESTIMATORS FOR LOW SAMPLE SIZES: RANDOM MATRIX THEORY IN ARRAYPROCESSING APPLICATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 205Xavier Mestre, Centre Tecnològic de Telecomunicacions de Catalunya, Spain

Special Session TuePmSS2: Algebraic Methods for Blind Signal Separationand DeconvolutionChair: Lieven De Lathauwer, ETIS, France

ALGORITHMS FOR JOINT BLOCK DIAGONALIZATION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209Karim Abed-Meraim, Telecom Paris, France; and Adel Belouchrani, Ecole National Polytechnique, Algeria

A LINEAR ALGEBRA APPROACH TO SYSTEMS OF POLYNOMIAL EQUATIONS WITH APPLICATIONTO DIGITAL COMMUNICATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 213Jerome Lebrun and Pierre Comon, Lab. I3S - CNRS/UNSA, France

THIN QR AND SVD FACTORIZATIONS FOR SIMULTANEOUS BLIND SIGNAL EXTRACTION. . . . . . . . . . 217Sergio Cruces, University of Seville, Spain; Andrzej Cichocki, Brain Science Institute (RIKEN), Japan; and LievenDe Lathauwer, ETIS (ENSEA, UCP, CNRS), France

OPTIMIZATION OF JADE USING A NOVEL OPTIMALLY WEIGHTED JOINT DIAGONALIZATIONAPPROACH. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 221Alexander Smekhov and Arie Yeredor, Tel-Aviv University, Israel

ALGEBRAIC TECHNIQUES FOR THE BLIND DECONVOLUTION OF CONSTANT MODULUS SIGNALS 225Lieven De Lathauwer, ETIS, UMR 8051 (CNRS, ENSEA, UCP), France

Session TuePmOR1: DetectionChair: Alfred Hero, University of Michigan, USA

PARAMETRIC AND NONPARAMETRIC APPROACHES TO DETECTION IN MAGNETIC RESONANCEFORCE MICROSCOPY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 229Pei-Jung Chung, Dept. of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, USA;Anatole Ruslanov, Dept. of Computer Science, Drexel University, Philadelphia, USA; and Johann Böhme, Dept.of Electrical Engineering and Information Sciences, Ruhr-Universität Bochum, Germany

DETECTION OF BRAIN ACTIVATION FROM MAGNITUDE FMRI DATA USING A GENERALIZEDLIKELIHOOD RATIO TEST . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 233Arnold J. Den Dekker, Delft University of Technology, The Netherlands; and Jan Sijbers, University of Antwerp,Belgium

THE OPTIMAL DETECTOR FOR A WIDEBAND NOISE IMPULSE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 237Sergey Panfilov and Vladimir Kanakov, University of Nizhny Novgorod, Russia

xi

IMPULSE NOISE CORRECTION IN AN IMAGE TRANSMISSION SYSTEM BY MEANS OF ANOVERSAMPLED FILTER BANK CODE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 241Slavica Marinkovic and Christine Guillemot, IRISA-INRIA, France

RECURSIVE BAYESIAN AUTOREGRESSIVE CHANGEPOINT DETECTOR FOR SEQUENTIAL SIGNALSEGMENTATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 245Roman Cmejla and Pavel Sovka, Czech Technical University in Prague, Czech Republic

Session TuePmOR2: Image Processing and TransmissionChair: Benoı̂t Macq, Laboratoire de Télécommunications et t́elédétection, Belgium

COMPARISON OF JPEG AND JPEG 2000 IN LOW-POWER CONFIDENTIAL IMAGE TRANSMISSION . . . 249Mara Rhepp, Herbert Stögner, CTI, Austria; and Andreas Uhl, CTI & Salzburg University, Austria

RETRANSMISSION STRATEGIES FOR OPTIMIZED JPEG 2000 IMAGE TRANSMISSION IN WIRELESSENVIRONMENT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253Marco Grangetto, Enrico Magli and Gabriella Olmo, Dept. of Electronics - Politecnico di Torino, Italy

A COMBINED WAVELET-BASED IMAGE PROCESSING METHOD FOR EMERGENT CRACK DETEC-TIONON PAVEMENT SURFACE IMAGES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 257Peggy Subirats, Olivier Fabre, Jean Dumoulin, Vincent Legeay, Laboratoire Central des Ponts et Chaussées,France; and Dominique Barba, Institut de Recherche en Communications et Cybernétique de Nantes, France

UNSUPERVISED LINE NETWORK EXTRACTION FROM REMOTELY SENSED IMAGES BY POLYLINEPROCESS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261Caroline Lacoste, Xavier Descombes, Josiane Zerubia, INRIA, FRANCE; and Nicolas Baghdadi, BRGM, FRANCE

CAPACITY ANALYSIS OF PERIODICAL WATERMARKING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265Emre Topak, Svyatoslav Voloshynovskiy, Oleksiy Koval and Thierry Pun, CUI, University of Geneva, Switzerland

Session TuePmOR3: Motion Estimation and Object TrackingChair: Stefano Tubaro, Politecnico di Milano, Italy

ADAPTIVE ALGORITHM FOR FAST MOTION ESTIMATION IN H.264/MPEG-4 AVC . . . . . . . . . . . . . . . . . . . . 269Sergio Saponara, Massimiliano Melani, Luca Fanucci and Pierangelo Terreni, University of Pisa, Italy

FAST MOTION ESTIMATION WITH SIZE-BASED PREDICTORS SELECTION HEXAGON SEARCH INH.264/AVC ENCODING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273Luca Pezzoni, STMicroelectronics, Italy; Paolo De Pascalis, Gian Antonio Mian, University of Padova, Italy; andDaniele Bagni, STMicroelectronics, Italy

FAST AND ACCURATE OBJECT TRACKING BY SUCCESIVE LEARNING OF LIFTING WAVELETFILTERS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277Ryuichi Ikeura, Shigeru Takano and Koichi Niijima, Department of Informatics, Kyushu University, Japan

TRACKING OF EXTENDED SIZE TARGETS IN H.264 COMPRESSED VIDEO USING THEPROBABILISTIC DATA ASSOCIATION FILTER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 281Vimal Thilak and Charles Creusere, New Mexico State University, USA

xii

MULTI-OBJECT TRACKING USING THE PARTICLE FILTER ALGORITHM ON THE TOP-VIEW PLAN . . 285Santiago Venegas Martinez, Jean François Knebel and Jean Philippe Thiran, Swiss Federal Institute of Technology,Switzerland

Session TuePmPO1: Signal Processing TechniquesChair: Ahmed Tewfik, University of Minnesota, USA

DIGITAL WAVEGUIDES VS. WAVE DIGITAL FILTERS IN PHYSICAL MODELING: THEORETICAL ANDCOMPUTATIONAL ASPECTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 289Matti Karjalainen and Cumhur Erkut, Helsinki University of Technology, Finland

NOISE REDUCTION FOR CHAOTIC SIGNALS BASED ON NEW APPROACH OF MEASURING THESIGNAL DETERMINACY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 293Jiangtao Xi, University of Wollongong, Australia; Zheng Lin, Zongkai Yang, Huazhong University of Science andTechnology, China; and Joe Chicharo, University of Wollongong, Australia

ROBUST PITCH EXTRACTION IN PATHOLOGICAL VOICE BASED ON WAVELET AND CEPSTRUM . . . 297Weiping Hu, Guangxi Normal University, P.R.China; Xiuxin Wang, Guangxi Normal University,, P.R.China; andGómez Pedro, Universidad Politcnica de Madrid, Spain

WAVELET BASED DE-NOISING FOR CHAOTIC SIGNAL PREDICTION USING THE TRAJECTORYPARALLEL MEASURE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 301Shigeo Wada and Yuji Koizumi, Tokyo Denki University, Japan

BASELINE SPECTRUM ESTIMATION USING HALF-QUADRATIC MINIMIZATION . . . . . . . . . . . . . . . . . . . . . 305Vincent Mazet, David Brie, CRAN, CNRS UMR 7039, Université Henri Poincaŕe Nancy 1, France; and JérômeIdier, IRRCyN, CNRS UMR 6597, Ecole Centrale de Nantes, France

PERFORMANCE ANALYSIS OF MULTIWAVELETS CONSTRUCTED USING B-SPLINE REFINABLESUPER FUNCTIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309Huseyin Ozkaramanli and Burcin Ozmen, Eastern Mediterranean University, Cyprus

MODELING OF LONG AND COMPLEX RESPONSES USING KAUTZ FILTERS AND TIME-DOMAINPARTITIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 313Tuomas Paatero, Helsinki University of Technology, Finland

BOUNDED SUBSET SELECTION WITH NONINTEGER COEFFICIENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317Masoud Alghoniemy, University of Alexandria, Egypt; and Ahmed Tewfik, University of Minnesota, USA

Session TuePmPO2: Speech, Speaker, and Emotion RecognitionChair: Jashmin Shah, Temple University, USA

NONLINEAR DECISION FUNCTION IN SPEAKER VERIFICATION USING A CLASSIFIER ENSEMBLE . 321Hakan Altincay and Cem Ergun, Eastern Mediterranean Univ., Turkey

SELF-OPTIMIZING VOICE CONTROL USER INTERFACE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325Wolfgang Tschirk, Siemens AG̈Osterreich, PSE ECT, Austria

AUDIBLE (NORMAL) SPEECH AND INAUDIBLE MURMUR RECOGNITION USING NAMMICROPHONE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329Panikos Heracleous, Yoshitaka Nakajima, Akinobu Lee, Hiroshi Saruwatari and Kiyohiro Shikano, Nara Instituteof Science and Technology, Japan

xiii

SVM BASED TEXT-DEPENDENT SPEAKER IDENTIFICATION FOR LARGE SET OF VOICES . . . . . . . . . . . 333Piotr Staroniewicz and Wojciech Majewski, Institute of Telecommunication and Acoustics, Wroclaw University ofTechnology, Poland

CONFIDENCE WEIGHTING MISSING FEATURE APPROACH FOR ROBUST SPEECH RECOGNITION. . . 337Yubo Ge, Jun Song, Department of Mathematics Science, Tsinghua University, China; and Lingnan Ge, School ofScience and Engineering, Waseda Univ., Japan

AUTOMATIC SPEECH CLASSIFICATION TO FIVE EMOTIONAL STATES BASED ON GENDERINFORMATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 341Dimitrios Ververidis and Constantine Kotropoulos, Artificial Inteligence and Information Analysis Laboratory,Department of Informatics, Aristotle University of Thessaloniki, Greece

APPLICATION OF WAVELET TRANSFORM AND WAVELET THRESHOLDING IN ROBUST SUB-BANDSPEECH RECOGNITION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 345Babak Nasersharif and Ahmad Akbari, iran university of science and technology, iran

SPEAKER IDENTIFICATION IMPROVEMENT USING THE USABLE SPEECH CONCEPT . . . . . . . . . . . . . . . 349Ananth Iyer, Brett Smolenski, Robert Yantorno, Temple University, USA; Edward Cupples, Stanley Wenndt, AirForce Research Laboratory/IFEC, USA; and Jashmin Shah, Temple University, USA

EXPLICIT MODELLING OF COMMON ACOUSTIC FEATURES FOR CHARACTER RECOGNITION . . . . . 353Mario Munich, Evolution Robotics, USA; and Qiguang Lin, AOL Voice Services, USA

Special Session TuePmSS3: Statistical Shape Analysis and ModellingChair: Hamid Krim, North Carolina State University, USA

SOME APPROACHES TO SHAPE ANALYSIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 357Anuj Srivastava and Washington Mio, Florida State University, USA

CLASSIFICATION AND SAMPLING OF SHAPES THROUGH SEMIPARAMETRIC SKEW-SYMMETRICSHAPE MODEL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 365Sajjad Baloch and Hamid Krim, North Carolina State University, USA

LEARNING INTRINSIC DIMENSION AND INTRINSIC ENTROPY OF HIGH-DIMENSIONAL DATASETS 369Jose Costa and Alfred Hero, University of Michigan, USA

GEODESIC HOMOTOPIES. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 373Anthony Yezzi, Georgia Tech, USA; and Andrea Mennucci, Scuola Normale, Italy

Session TuePmOR4: Source SeparationChair: Visa Koivunen, SMARAD CoE, HUT, Finland

AN ALGEBRAIC TECHNIQUE FOR THE BLIND SEPARATION OF DS-CDMA SIGNALS . . . . . . . . . . . . . . . . 377Jośephine Castaing and Lieven De Lathauwer, ETIS, France

A NOVEL APPROACH TO CONVOLUTIVE BLIND SEPARATION OF CLOSE-TO-ORTHOGONAL PULSESOURCES USING SECOND-ORDER STATISTICS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 381Ales Holobar and Damjan Zazula, FEECS, Slovenia

xiv

CONVOLUTIVE BSS USING A PENALIZED MUTUAL INFORMATION CRITERION . . . . . . . . . . . . . . . . . . . . 385Mohammed El Rhabi, Guillaume Gelle, Hassan Fenniri and Georges Delaunay, Décom-LAM laboratory, Univer-sity of Reims Champagne Ardennes, France

FREQUENCY-DOMAIN MULTICHANNEL SIGNAL ENHANCEMENT: MINIMUM VARIANCE VS.MINIMUM CORRELATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 389Julien Bourgeois and Klaus Linhard, DaimlerChrysler Research and Technology, Germany

A TWO CHANNEL BLOCK-ADAPTIVE AUDIO SEPARATION TECHNIQUE BASED UPON TIME-FREQUENCY INFORMATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 393Daniel Smith, Jason Lukasiak and Ian Burnett, SECTE, University of Wollongong, Australia

Session TuePmOR5: Adaptive Algorithms for Echo CompensationChair: Eberhard H änsler, TU Darmstadt

DELAYLESS SUBBAND ECHO CANCELERS USING COMPUTATIONALLY EFFICIENT PARALLELKALMAN FILTERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397Mohammad Zulhasnine and Md. Hasan, BUET, Bangladesh

ECHO CANCELLATION USING A VARIABLE STEP-SIZE NLMS ALGORITHM . . . . . . . . . . . . . . . . . . . . . . . . . 401Ahmed Sulyman, Queen’s University, Canada; and Azzedine Zerguine, KFUPM, Saudi Arabia

REDUCING INTER-CHANNEL COHERENCE IN STEREOPHONIC ACOUSTIC ECHO CANCELLATIONUSING PARTIAL UPDATE ADAPTIVE FILTERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405Andy Khong and Patrick Naylor, Imperial College London, United Kingdom

GAIN LOSS CONTROL BASED ON SPEECH CODEC PARAMETERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 409Christophe Beaugeant, Siemens AG, Germany; Nicolas Duetsch, Technical University Munich, Germany; andHervé Taddei, Siemens AG, Germany

NEAR-END DISTORTION IN OVER-SAMPLED SUBBAND ADAPTIVE IMPLEMENTATION OF AFFINEPROJECTION ALGORITHM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413Hamid Sheikhzadeh, Robert L. Brennan and Kevin R. L. Whyte, Dspfactory Ltd., Canada

Session TuePmOR6: Multidimensional Systems and Signal ProcessingChair: William Puech, University of Montpellier II, France

ON THE DESIGN OF TWO-DIMENSIONAL POLAR SEPARABLE FILTERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417Michael Felsberg, Link̈oping University, Dept. EE, Sweden

POLARIZED SOURCE CHARACTERIZATION USING VECTOR - MUSIC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421Sebastian Miron, Nicolas Le Bihan and Jérôme Mars, LIS, France

RECONSTRUCTION OF IMAGES FROM THEIR OBSERVATION THROUGH BAYER AND HONEYCOMBCOLOR FILTER ARRAYS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 425Tomohide Someya, Ibaraki University, Japan; Tomoko Yokokawa, Ibaraki Univeristy, Japan; and Masaru Kamada,Ibaraki University, Japan

3-D TEXTURE MODEL BASED ON THE WOLD DECOMPOSITION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 429Youssef Stitou, Flavius Turcu, Mohamed Najim, Equipe Singal et Image UMR 5131, France; and Larbi Redouane,LESSI- Facult́e des Science FES, Maroc

xv

NONPARAMETRIC TECHNIQUE OF IMPULSIVE NOISE REMOVAL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 433Bogdan Smolka, Sebastian Budzan, Silesian University of Technology, Poland; Anastasios Venetsanopoulos andRastislav Lukac, University of Toronto, Canada

Session TuePmPO3: Channel Estimation, Equalization, and ModellingChair: Pascal Larzabal, ENS Cachan, France

NONLINEAR CHANNEL EQUALIZATION WITH MAXIMUM COVARIANCE INITIALIZED CASCADE-CORRELATION LEARNING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 437Arto Kantsila, Tampere University of Technology, Institute of Digital and Computer Systems, Finland

A VARIABLE TIME LAG ALGORITHM FOR THE FIR EQUALIZER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 441Yu Gong and Colin Cowan, Queen’s University of Belfast, UK

TIME-FREQUENCY AND TIME-SCALE CANONICAL REPRESENTATIONS OF DOUBLY SPREADCHANNELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445Radu Balan, Siemens Corporate Research, USA; H. Vincent Poor, Princeton University, USA; Scott Rickard, Uni-versity College Dublin, Ireland; and Sergio Verdu, Princeton University, USA

AN EFFICIENT FAST-FADING CHANNEL ESTIMATION AND EQUALIZATION METHOD WITH SELFICI CANCELLATION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 449Yen-Hui Yeh, MediaTek Inc, Taiwan; and Sau-Gee Chen, National Chiao Tung University, Taiwan

IMPROVEMENT OF HIDDEN MARKOV MODEL EVALUATION OF THE MOBILE SATELLITE CHANNELBY RESORTING TO A TRANSITION LOCALISATION METHOD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453Clémence Alasseur and Lionel Husson, Supélec, France

AN FIR PREDICTOR INTERPRETATION OF LS ESTIMATION OF SINUSOIDAL AMPLITUDESFOLLOWED BY EXTRAPOLATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 457Torbjörn Ekman, UniK, Norway

BLIND RESTORATION OF BINARY SIGNALS USING A LINE SPECTRUM FITTING APPROACH. . . . . . . . 461Javier Via, Ignacio Santamaria, University of Cantabria, Spain; and Marcelino Lazaro, Universidad Carlos III,Spain

FRACTIONALLY SPACED LINEAR MMSE TURBO EQUALIZATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 465Roald Otnes, Norwegian Defence Research Establishment (FFI), Norway

ON THE LEAST SQUARES PERFORMANCE OF A NOVEL EFFICIENT CENTER ESTIMATIONMETHOD FOR CLUSTERING-BASED MLSE EQUALIZATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 469Eleftherios Kofidis, University of Athens, Greece; Yannis Kopsinis, University of Edinburgh, United Kingdom; andSergios Theodoridis, University of Athens, Greece

Session TuePmPO4: Image Restoration, Noise Removal, and DeblurChair: Jean-Christophe Pesquet, UMLV, France

BLIND IMAGE DEBLURRING IN THE EDGE DOMAIN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 473Stefania Colonnese, Univesità degli Studi di Roma ”La Sapienza”, Italy; Patrizio Campisi, Univesità degli Studi diRoma ”ROMA TRE”, Italy; Gianpiero Panci and Gaetano Scarano, Univesità degli Studi di Roma ”La Sapienza”,Italy

xvi

RESTORATION OF ATMOSPHERIC TURBULENT VIDEO CONTAINING REAL MOTION USING RANKFILTERING AND ELASTIC IMAGE REGISTRATION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477Shai Gepshtein, Alex Shtainman, Barak Fishbain and Leonid Yaroslavsky, Tel Aviv University, Israel

NOISE REMOVAL ON COLOR IMAGE SEQUENCES USING COUPLED ANISOTROPIC DIFFUSIONSAND NOISE-ROBUST MOTION DETECTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 481Pascal Bourdon, Bertrand Augereau, Christian Olivier and Christian Chatellier, SIC - FRE CNRS 2731, Universityof Poitiers, France

3D - TANGENTIAL DIFFUSION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485Regis Dargent, Equipe Signal et Image/ UMR LAP 5131, France; Romulus Terebes, Technical University of Cluj-Napoca, Romania; Olivier Lavialle and Pierre Baylou, Equipe Signal et Image/ UMR LAP 5131, France

A STATISTICAL EXTENSION OF NORMALIZED CONVOLUTION AND ITS USAGE FOR IMAGEINTERPOLATION AND FILTERING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 489Matthias M̈uhlich and Rudolf Mester, J.W.Goethe-University Frankfurt, Germany

”FOXING” IN VINTAGE PHOTOGRAPHS: DETECTION AND REMOVAL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493Filippo Stanco, Livio Tenze and Giovanni Ramponi, DEEI - University of Trieste, Italy

RESTORATION OF IMAGES DEGRADED BY SENSOR NON-LINEARITY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 497Syed Ibrahim Sadhar and Ambasamudram N. Rajagopalan, Indian Institute of Technology, India

ON IMPROVING THE NOISE REDUCTION ALGORITHMS USING IMAGE SEGMENTATION. . . . . . . . . . . . 501Paul White, Oliver Baumann and Antonio De Setefano, University of Southampton, UK

A NEW TRUST REGION FISHER SCORING OPTIMIZATION FOR IMAGE AND BLUR IDENTIFICATION 505Faruk Sari, T̈ubitak MAM BTAE, Turkey; and M. Ertugrul Celebi, Istanbul Technical University, Turkey

Wednesday, September8th, 2004

Plenary Lecture WedAmPS1: Brain-Computer Interface State of the Artand Future Prospects

BRAIN-COMPUTER INTERFACE - STATE OF THE ART AND FUTURE PROSPECTS . . . . . . . . . . . . . . . . . . . . 509Gert Pfurtscheller, Institute of Human-Computer Interfaces , Graz University of Technology, Austria

Special Session WedAmSS1: Performance Limits and Signal Design forMIMO WirelessChair: Helmut B ölcskei, Swiss Federal Institute of Technology Zurich, Switzerland

IMPACT OF SIGNAL CONSTELLATION EXPANSION ON ACHIEVABLE DIVERSITY IN QUASISTATICMULTIPLE ANTENNA CHANNELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 511Albert Guillen i Fabregas and Giuseppe Caire, Institut Eurecom, France

PRECODING FOR SPACE-TIME BLOCK CODES IN (NON-)KRONECKER CORRELATED MIMOCHANNELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 515Are Hjørungnes, Jabran Akhtar, Department of Informatics, University of Oslo, Norway; and David Gesbert,Mobile Communications Department, Eurecom Institute, France

xvii

SPATIAL LOADING BASED ON CHANNEL COVARIANCE FEEDBACK AND CHANNEL ESTIMATES . . . 519Cristoff Martin, Svante Bergman and Björn Ottersten, KTH, Royal Institute of Technology, Sweden

ON MULTIPLE ACCESSING FOR FREQUENCY-SELECTIVE MIMO CHANNELS . . . . . . . . . . . . . . . . . . . . . . . 523Samuli Visuri, Helsinki University of Technology, Finland; and Helmut Bölcskei, ETH Zurich, Switzerland

Session WedAmOR1: Signal Processing Implementations and Applications

Chair: Desmond C. McLernon, University of Leeds, United Kingdom

MULTI-PSF MODELLING FOR X-RAY DIFFRACTION PATTERN RECONSTRUCTION . . . . . . . . . . . . . . . . . . 529Daan Zhu, Moe Razaz, Binhai Wang, CMP, University of East Anglia, England; and Andrew Hemmnings, BIO,University of East Anglia, England

SOFTWARE IMPLEMENTATION OF SHDSL TRANSCEIVERS ON A NOVEL DSP ARCHITECTURE . . . . . 533Manfred Riener, Andreas Bolzer and Gerald Krottendorfer, On Demand Microelectronics, Austria

LOCALIZATION PROPERTIES OF AN EEG SENSOR SYSTEM: LOWER BOUNDS AND OPTIMALITY. . . 537Teodor Iulian Alecu, Svyatoslav Voloshynovskiy and Thierry Pun, University of Geneva, Switzerland

FPGA IMPLEMENTATIONS OF SORTERS FOR NON-LINEAR FILTERS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 541Boaz Hirschl, Intel, Israel; and Leonid Yaroslavsky, Tel-Aviv University, Israel

APPLICATION OF 1-D FILTERS TO IMAGE TRANSMULTIPLEXING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545Mariusz Ziolko, Przemyslaw Sypka, Department of Electronics AGH, Poland; and Tomasz Kozlowski, INSA De-partment of Electronics and Computer Engineering, France

Session WedAmOR2: Continuous Speech RecognitionChair: Mikko Kurimo, Helsinki University of Technology, Finland

COMBINATION OF PHONE N-GRAMS FOR A MPEG-7-BASED SPOKEN DOCUMENT RETRIEVALSYSTEM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 549Nicolas Moreau, Hyoung-Gook Kim and Thomas Sikora, Technical University of Berlin, Germany

PERFORMANCE ANALYSIS OF THE AURORA LARGE VOCABULARY BASELINE SYSTEM . . . . . . . . . . . 553Naveen Parihar, Joseph Picone, Institute for Signal and Information Processing, USA; David Pearce, Speech andMultiModal Group, Motorola Labs, UK, UK; and Hans-G̈unter Hirsch, Department of Electrical and ComputerScience, Niederrhein University, Germany

LANGUAGE MODELING STRUCTURES IN AUDIO TRANSCRIPTION FOR RETRIEVAL OFHISTORICAL SPEECHES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 557Mikko Kurimo, Helsinki University of Technology, Finland; Bowen Zhou, Rongqing Huang and John Hansen,University of Colorado at Boulder, USA

AUTOMATIC SEGMENTATION AND LABELING OF CONTINUOUS SPEECH WITHOUTBOOTSTRAPPING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 561T. Nagarajan, Hema A. Murthy and N. Hemalatha, Indian Institute of Technology, Madras, India

NETWORK TRAINING FOR CONTINUOUS SPEECH RECOGNITION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 565Issac Alphonso and Joseph Picone, Institute for Signal and Information Processing, USA

xviii

Session WedAmOR3: Image Filtering and EnhancementChair: Bogdan Smolka, Silesian University of Technology, Poland

SUPER-RESOLUTION DIGITAL IMAGE INTERPOLATION WITH WARPING OF COORDINATE POINTAND BIASING OF SIGNAL AMPLITUDE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 569Atsushi Shimura and Akira Taguchi, Musashi Institute of Technology, Japan

AN INTERSCALE MULTIVARIATE MAP ESTIMATION OF MULTISPECTRAL IMAGES . . . . . . . . . . . . . . . . . 573Amel Benazza-Benyahia, Ecole Supérieure des Communications de Tunis,, Tunisia; and Jean-Christophe Pesquet,IGM and UMR-CNRS 5141, France

IMAGE ENHANCEMENT METHOD USING PIECEWISE LINEAR TRANSFORMS . . . . . . . . . . . . . . . . . . . . . . . 577Vasile Patrascu, Department of Informatics Technology, TAROM Company, Romania

IMPROVED INTERPOLATION OF 4:2:0 COLOUR IMAGES TO 4:4:4 FORMAT EXPLOITING INTER-COMPONENT CORRELATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 581Maciej Bartkowiak, Poznan University of Technology, Poland

COLOUR-DEPENDENT LINEAR VECTOR IMAGE FILTERING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 585Stephen Sangwine, Todd Ell, University of Essex, USA; and Barnabas Gatsheni, None, UK

Session WedAmOR4: Machine Learning for Signal ProcessingChair: Francesco Palmieri, Seconda Universit̀a di Napoli, Italy

ACTIVE TRAINING ON THE CMAC NONLINEAR ADAPTIVE SYSTEM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 589Luis Weruaga, Austrian Academy of Sciences, Austria; Juan Morales and Rafael Verdu, Cartagena University ofTechnology, Spain

AN ALTERNATIVE NATURAL GRADIENT APPROACH FOR ICA BASED LEARNING ALGORITHMSIN BLIND SOURCE SEPARATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 593Andrea Arcangeli, Stefano Squartini and Francesco Piazza, deit università politecnica delle marche, italy

MULTIDIMENSIONAL SVM TO INCLUDE THE SAMPLES OF THE DERIVATIVES IN THERECONSTRUCTION OF A FUNCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 597Fernando Perez-Cruz, Marcelino Lazaro and Antonio Artés-Rodŕıguez, Universidad Carlos III de Madrid, Spain

APPLICATION OF THE KALMAN-PARTICLE KERNEL FILTER TO THE UPDATED INERTIALNAVIGATION SYSTEM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 601Karim Dahia, Musso Christian, ONERA, France; Dinh Tuan Pham, CNRS, France; and Jean-Pierre Guibert,ONERA, France

PARTICLE FILTER AND GAUSSIAN-MIXTURE FILTER EFFICIENCY EVALUATION FOR TERRAIN-AIDED NAVIGATION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 605Mathieu Flament, MBDA / Supélec - Service des Mesures, FRANCE; Gilles Fleury and Marie-Eve Davoust,Suṕelec - Service des Mesures, FRANCE

xix

Session WedAmPO1: Parameter Estimation: Methods and ApplicationsChair: Yonina Eldar, Technion-Israel Institute of Technology, Israel

BIAS ANALYSIS AND REMOVAL OF A MICROPHONE ARRAY BASED ROAD TRAFFIC SPEEDESTIMATOR. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 609Roberto Lopez-Valcarce, David Hurtado, Carlos Mosquera and Fernando Perez-Gonzalez, University of Vigo,Spain

VECTOR UNIFORM CRAMER-RAO LOWER BOUND . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 613Yonina Eldar, Technion, Israel

APPROXIMATE MAXIMUM-LIKELIHOOD ESTIMATION OF CIRCLE PARAMETERS USING A PHASE-CODED KERNEL. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 617Emanuel Zelniker and Vaughan Clarkson, University of Queensland, Australia

RECURSIVELY RE-WEIGHTED LEAST-SQUARES ESTIMATION IN REGRESSION MODELS WITHPARAMETERIZED VARIANCE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 621Luc Pronzato, CNRS - UNSA, France; and Andrej Pazman, Comenius University, Slovakia

EM ALGORITHMS FOR ROBUST SIGNAL FILTERING AND PREDICTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 625Guang Deng, Dept. Elec. Eng., La Trobe University, Australia

A NEW TRAINING SET-BASED REGULARIZATION FOR REGRESSION TECHNIQUES . . . . . . . . . . . . . . . . . 629Youness Naji, Laurent Le Brusquet and Gilles Fleury, Supélec, FRANCE

TWO-KALMAN FILTERS APPROACH FOR UNBIASED AR PARAMETER ESTIMATION FROM NOISYOBSERVATIONS, APPLICATION TO SPEECH ENHANCEMENT. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633David Labarre, Eric Grivel, Mohamed Najim, Equipe Signal & Image/UMR LAP 5131, France; and Ezio Todini,Dpt of Earth & Geo-Environmental Sciences, University of Bologna, Italy

SUBSPACE-BASED FUNDAMENTAL FREQUENCY ESTIMATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 637Mads Græsbøll Christensen, Søren Holdt Jensen, Søren Vang Andersen, Aalborg University, Denmark; and An-dreas Jakobsson, Karlstad University, Sweden

ENHANCED TIME RESOLUTION IN BAND LIMITTED COMMUNICATION SYSTEMS . . . . . . . . . . . . . . . . . 641Ebrahim Saberinia and Ahmed Tewfik, University of Minnesota, USA

Session WedAmPO2: Video Coding and Multimedia CommunicationsChair: Marek Domanski, Poznañ University of Technology, Poland

EMBEDDED MULTIPLE DESCRIPTION SCALAR QUANTIZERS AND WAVELET-BASED QUADTREECODING FOR PROGRESSIVE IMAGE TRANSMISSION OVER UNRELIABLE CHANNELS . . . . . . . . . . . . . 645Augustin Ion Gavrilescu, Adrian Munteanu, Jan Cornelis and Peter Schelkens, Department of Electronics andInformation Processing (ETRO), Belgium

A ROBUST H.264 DECODER WITH ERROR CONCEALMENT CAPABILITIES . . . . . . . . . . . . . . . . . . . . . . . . . . 649Gianluca Gennari, Gian Antonio Mian, University of Padova, Italy; and Luca Celetto, ST Microelectronics Srl,Italy

PARAMETER TRANSMISSION VIA ROI IN JPEG2000 FOR VARIABLE-COEFFICIENT INVERTIBLEDEINTERLACING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653Takuma Ishida, Jun Uchita, Shogo Muramatsu, Hisakazu Kikuchi, Niigata University, Japan; and Tetsuro Kuge,Science and Technical Research, NHK, Japan

xx

SCALABLE MOTION VECTOR CODING FOR MC-EZBC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 657Zhiping Hu, Mihaela Van Der Schaar, University of California Davis, USA; and Béatrice Pesquet-Popescu, ENSTParis, France

A QOS-DRIVEN UMA VIEWER IN MPEG-21 FRAMEWORK . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661Andrew Perkis, Venkatesh Babu Radhakrishnan and Peder Drege, Norwegian University of Science and Technol-ogy, Norway

LOW COMPLEXITY VIDEO CODEC FOR MOBILE VIDEOCONFERENCING . . . . . . . . . . . . . . . . . . . . . . . . . . . 665Andrea Molino, Fabrizio Vacca, CERCOM - Dipartimento di Elettronica - Politecnico di Torino, Italy; MainakBiswas and Truong Q. Nguyen, ECE Dept. - University of California San Diego, USA

EMBEDDING SIGN LANGUAGE INTERPRETATION OF A VIDEO IN THE WAVELET TRANSFORMDOMAIN . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 669Mohsen Ashourian, Azad University of Iran, Majlesi Branch, Iran

WAVELET-BASED VIDEO CODING: OPTIMAL USE OF MOTION INFORMATION FOR THE DECODINGOF SPATIALLY SCALED VIDEO SEQUENCES. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 673Davide Maestroni, Augusto Sarti, Marco Tagliasacchi and Stefano Tubaro, DEI - Politecnico di Milano, Italy

REPRESENTATION OF MOTION VECTORS IN MODIFIED ADVANCED VIDEO CODING WITH SPATIALSCALABILITY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 677Rafal Lange, Lukasz Blaszak and Marek Domanski, Poznañ University of Technology, Poland

Special Session WedAmSS2: Prototyping for MIMO SystemsChair: Thomas Kaiser, Duisburg University, Germany

PROTOTYPING FOR MIMO SYSTEMS - AN OVERVIEW . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681Thomas Kaiser, Andreas Wilzeck, Martin Berentsen, Universität Duisburg-Essen, Germany; and Markus Rupp,Technische Universität Wien, Austria

AN APPROACH FOR REAL TIME PROTOTYPING OF MIMO-OFDM SYSTEMS . . . . . . . . . . . . . . . . . . . . . . . . . 689Maryse Wouters, Andre Bourdoux, Stefaan Derore, Sven Janssens and Veerle Derudder, Imec vzw, Belgium

DESCRIBING MIMO DESIGNS FOR RAPID PROTOTYPING IN THE BEE ENVIRONMENT . . . . . . . . . . . . . . 693Kimmo Kuusilinna, Tampere University of Technology, Finland; Chen Chang, University of California at Berkeley,USA; Hans-Martin Bluethgen, Infineon Technologies AG, Germany; Danijela Cabric, Brian Richards and RobertBrodersen, University of California at Berkeley, USA

DESIGN APPROACH FOR A TIME REVERSAL TEST BED FOR RADIO CHANNELS . . . . . . . . . . . . . . . . . . . . 697Jan Hansen, Stanford University, USA; Daniel Baum, ETH Zürich, Schweiz; and Arogyaswami Paulraj, StanfordUniversity, USA

DEVELOPMENT OF 4 X 4 MIMO-OFDM SYSTEM AND TEST MEASUREMENT . . . . . . . . . . . . . . . . . . . . . . . . 701Kei Mizutani, Kei Sakaguchi, Jun-ich Takada and Kiyomichi Araki, Tokyo Institute of Technology, Japan

Session WedAmOR5: Adaptive Filters IChair: Hideaki Sakai, Kyoto University, Japan

A NEW LMS/NEWTON ALGORITHM FOR ROBUST ADAPTIVE FILTERING IN IMPULSIVE NOISE . . . . 705Yi Zhou, S. C. Chan and K. L. Ho, The University of Hong Kong, Hong Kong, P. R. China

xxi

A VARIABLE STEP SIZE PRE-WHITENED SIGN ALGORITHM WITH QUANTIZED NORMALIZINGFACTOR. APPLICATION TO ACOUSTIC ECHO CANCELLATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 709Hichem Besbes and Sofia Ben Jebara, Ecole Supérieure des Communications de Tunis, Sup’Com, Tunisia

ACCELERATION OF ADAPTIVE PARALLEL PROJECTION ALGORITHMS BY PAIRWISE OPTIMALWEIGHT REALIZATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 713Masahiro Yukawa and Isao Yamada, Yamada Lab, Dept. of Communications and Integrated Systems, Tokyo Insti-tute of Technology, Japan

NEW DIRECT ADAPTIVE ALGORITHM FOR MULTICHANNEL ACTIVE NOISECONTROL AND SOUNDREPRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 717Masaki Kamata, Yuhsuke Ohta and Akira Sano, Keio University, Japan

THE LMS, PNLMS, AND EXPONENTIATED GRADIENT ALGORITHMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721Jacob Benesty, Universite du Quebec, INRS-EMT, Canada; and Yiteng Huang, Bell Labs, Lucent Technologies,USA

Session WedAmOR6: Speech AnalysisChair: Pedro Gómez, Universidad Polit́ecnica de Madrid, Spain

ON IMPROVING VOICE ACTIVITY DETECTION BY FUZZY LOGIC RULES : CASE OF COHERENCEBASED FEATURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 725Sofia Ben Jebara and Taha Ben Amor, Ecole Supérieure des Communications de Tunis, Tunisia

GLOTTAL OPENING INSTANT DETECTION FROM SPEECH SIGNAL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 729Aı̈cha Bouzid and Noureddine Ellouze, ENIT, Tunisia

APPROPRIATE WINDOWING FOR GROUP DELAY ANALYSIS AND ROOTS OF Z-TRANSFORM OFSPEECH SIGNALS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 733Baris Bozkurt, Faculte Polytechnique De Mons, Belgium; Boris Doval, Christophe D’Alessandro, Limsi-CNRS,France; and Thierry Dutoit, Faculte Polytechnique De Mons, Belgium

FAST FORMANT ESTIMATION BY COMPLEX ANALYSIS OF LPC COEFFICIENTS . . . . . . . . . . . . . . . . . . . . 737Juan Luis Garćıa Zapata, Dept. de Mateḿaticas, Univ. de Extremadura, Spain; Juan Carlos Dı́az Mart́ın, Dept.de Inforḿatica, Univ. de Extremadura, Spain; and Pedro Gómez, DATSI, Univ. Politécnica de Madrid, Spain

SEQUENTIAL K-NEAREST NEIGHBOR PATTERN RECOGNITION FOR USABLE SPEECHCLASSIFICATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741Jashmin Shah, Brett Smolenski, Robert Yantorno, SPEECH PROCESSING LAB, TEMPLE UNIVERSITY, USA;and Ananth Iyer, THE PENNSYLVANIA STATE UNIVERSITY, USA

Session WedAmOR7: Pattern Recognition, Classification, and FeatureSpacesChair: Thierry Pun, University of Geneva, Switzerland

HOUGH TRANSFORM WITH GNC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 745Andreas Leich, Marek Junghans and Hans-Joachim Jentschel, TU Dresden, Germany

CLASSIFICATION AND INDEXING OF PAINTINGS BASED ON ART MOVEMENTS . . . . . . . . . . . . . . . . . . . . 749Oguz Icoglu, Bilge Gunsel and Sanem Sariel, Istanbul Technical University, Turkey

xxii

FEATURE GENERATION FOR THE CELL IMAGE RECOGNITION OF MYELOGENOUS LEUKEMIA . . . . 753Stanislaw Osowski, Tomasz Markiewicz, Warsaw University of Technology, Poland; Bozena Marianska, Instituteof Haematology, Poland; and Leszek Moszczynski, Warsaw University Of Technology, Poland

JOINT POWER SPECTRUM ADDITION TECHNIQUE FOR OPTICAL COLOR PATTERN RECOGNITION. 757Tanwir Islam, Syed Bari, Waliullah Khan, Rafiqul Haider and Nazrul Islam, Bangladesh University of Engineeringand Technology, Bangladesh

PARAMETERIZATION METHODOLOGY FOR 2D SHAPE CLASSIFICATION BY HIDDEN MARKOVMODELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 761Miguel Ferrer, Jeśus B. Alonso, Universidad de Las Palmas de Gran Canaria, SPAIN; Sebastien David, Univer-sidad de Las Palmas de Gran CAnaria, SPAIN; and Carlos M Travieso, Universidad de Las Palmas de GranCanaria, SPAIN

Session WedAmOR8: Signal Processing Applications in Geophysics andRadio AstronomyChair: Rodolphe Weber, LESI, France

RADIO FREQUENCY INTERFERENCE MITIGATION WITH REAL-TIME FPGA DIGITAL SIGNALPROCESSING. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 765Willem Baan, Peter Fridman and Rob Millenaar, ASTRON, The Netherlands

COMPARISON BETWEEN TWO CYCLOSTATIONARY DETECTORS FOR RFI MITIGATION IN RADIOASTRONOMY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 769Stephanie Bretteil and Rodolphe Weber, LESI, France

DIGITAL IMPLEMENTATION OF A ROBUST RADIO ASTRONOMICAL SPECTRAL ANALYSER :TOWARDS IIIZW35 RECONQUEST . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 773Rodolphe Weber, LESI, france; Lionel Amiaud, LESIA, france; Andrée Coffre, Laurent Denis, Nançay, france;Alain Lecacheux, Carlo Rosolen, LESIA, france; Cédric Viou, Nançay, france; and Philippe Zarka, LESIA, france

EXPERIMENTAL CHANGES OF THE HURST EXPONENT BEHAVIOR OF THE GEOELECTRICALPOTENTIAL AND ITS POSSIBLE RELATION TO THE CHANGES OF SPECTRAL POWER-LAWEXPONENT OF THE SEISMIC ACTIVITY IN WESTERN GREECE. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 777Apostolos Ifantis, Technological Institute of Patras, Greece; Christos Theoharatos, Vassilis Tsagaris andGerasimos-Akis Tselentis, University of Patras, Greece

PRECURSOR SIGNAL ESTIMATION USING ELF BAND OBSERVATIONS FOR PREDICTINGEARTHQUAKES USING MONTE CARLO FILTER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 781Shinji Niwa, Akitoshi Itai, Hiroshi Yasukawa, Aichi Prefectural University, Japan; Ichi Takumi, Nagoya Instituteof Technology, Japan; and Masayasu Hata, Chubu University, Japan

Session WedAmPO3: Statistical Signal and Array ProcessingChair: Miguel A. Lagunas, Centre Tecnol̀ogic de Telecomunicacions de Catalunya, Spain

SIGNAL RECOVERY FROM NOISY SAMPLES VIA MULTIPLE OBSERVATIONS AND THRESHOLDING 785Luu Nguyen and Miroslaw Pawlak, University of Manitoba, Canada

REVERSE ENGINEERING VECTOR QUANTIZERS BY TRAINING SET SYNTHESIS . . . . . . . . . . . . . . . . . . . . 789Srivatsan Kandadai and Charles Creusere, New Mexico State University, United States

xxiii

SHORT TIME SINGLE POLYNOMIAL PHASE SIGNAL USING LEGENDRE FUNCTION . . . . . . . . . . . . . . . . . 793Vieira Michelle, Laboratoire LIS-CNRS/INPG, France; Léonard François, Institut de recherche d’Hydro-Québec,Canada; Jabloun Meryem and Martin Nadine, Laboratoire LIS-CNRS/INPG, France

DISTRIBUTED DETECTION BY MULTIPLE TESTS IN SENSOR NETWORKS USING RANGEINFORMATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 797Antonio Art́es-Rodŕıguez, Ricardo Torres-Ĺopez, DTSC - Univ. Carlos III de Madrid, Spain; and Lang Tong,School of ESchool of Electrical and Computer Engineering, Cornell University, USA

BAYESIAN REGRESSION OF FUNCTIONAL NEUROIMAGES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 801Dimitris Tzikas, Aristidis Likas, Nikolas Galatsanos, University of Ioannina, Greece; Ana Lukic and Miles Wer-nick, Illinois Institute of Technology, USA

ROBUST SUPER-EXPONENTIAL METHODS FOR DEFLATIONARY BLIND EQUALIZATION OF STATICSYSTEMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 805Mitsuru Kawamoto, Shimane University, RIKEN, Japan; Kiyotaka Kohno and Yujiro Inouye, Shimane University,Japan

MULTI-MICROPHONE SPEECH DEREVERBERATION USING SPATIO-TEMPORAL AVERAGING . . . . . . . 809Nikolay Gaubitch, Patrick Naylor and Darren Ward, Imperial College London, UK

Session WedAmPO4: Signal Processing Algorithms for CommunicationsChair: Stephan Weiss, University of Southampton, UK

A SECURE 3D-SPIHT CODEC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 813Lian Shiguo, Sun Jinsheng and Wang Zhiquan, Department of Automation,Nanjing University of Science andTechnology, P.R.China

SYNCHRONIZATION ALGORITHM FOR LPTV-BASED SPREAD SPECTRUM SIGNALS . . . . . . . . . . . . . . . . 817Bogdan Cristea, Benoit Escrig, Bernard Lacaze, Daniel Roviras and Wilfried Chauvet, TeSA/ENSEEIHT, France

LAYERED ENCRYPTION TECHNIQUES FOR DCT-CODED VISUAL DATA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 821Mark Fisch, Herbert Sẗogner, CTI, Austria; and Andreas Uhl, CTI & Salzburg University, Austria

HOUSEHOLDER BASED LOW-RANK SPACE-TIME PROCESSOR FOR ANTI-JAMMING NAVIGATIONRECEIVERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 825Stefan Werner, Matias With and Visa Koivunen, Signal Proc. Lab., SMARAD CoE, HUT, Finland

TOWARDS BEAMFORMING FOR UWB SIGNALS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 829Sigmar Ries, Fachhochschule Südwestfalen, Germany; and Thomas Kaiser, Universität Duisburg-Essen, Germany

AN INVVERSION APPROACH FOR CHAOS-BASED SECURE DIGITAL COMMUNICATION. . . . . . . . . . . . . 833Yufan Zheng, The University of Melbourne, Australia; Guanrong Chen, City University of Hong Kong, China; andRan Yang, The University of Melbourne, Australia

A MODE IDENTIFICATION SYSTEM FOR A RECONFIGURABLE TERMINAL USING TIMEFREQUENCY ANALYSIS AND A NON-PARAMETRIC CLASSIFIER. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 837Matteo Gandetto, Marco Guainazzo, Andrea Giardi and Carlo Secondo Regazzoni, Department of Biophysicaland Electronic Engineering - University of Genoa, Italy

EXTRACTING THE CHANNEL ALLOCATION INFORMATION IN A SPECTRUM POOLING SYSTEMUSING CYCLIC FEATURE DETECTION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 841Meng̈uc Öner and Friedrich Jondral, University of Karlsruhe, Institut für Nachrichtentechnik, Germany

xxiv

A BAYESIAN METHOD FOR ITERATIVE JOINT DETECTION AND DECODING IN THE PRESENCE OFPHASE NOISE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 845Giulio Colavolpe, Alan Barbieri, University of Parma - Dept. of Information Engineering, Italy; and GiuseppeCaire, Institut Eurecom - Mobile communications group, France

AN EFFICIENT LOW COMPLEXITY CLUSTERING-BASED MLSE EQUALIZER FOR FREQUENCY-SELECTIVE FADING CHANNELS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 849Yannis Kopsinis, Scool of Engineering and Electronics, University of Edinburgh, U.K.; Sergios Theodoridis andEleftherios Kofidis, Dept. of Informatics and Telecommunications, University of Athens, Greece

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xxvii

xxv


EUSIPCO-2004

ProceedingsVolume II



Edited by:F. Hlawatsch, G. Matz, M. Rupp, B. Wistawel

EusipcoProc_Cover_II 04.08.2004, 10:44 Uhr1

Table of Contents

Volume II

Wednesday, September8th, 2004

Special Session WedPmSS1: Monte Carlo Methods for Signal ProcessingChair: Petar Djuric, Stony Brook University, USA

MONTE CARLO METHODS FOR SIGNAL PROCESSING: RECENT ADVANCES . . . . . . . . . . . . . . . . . . . . . . . . 853Petar Djuric, Stony Brook University, USA

FIXED-LAG SEQUENTIAL MONTE CARLO . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 861Doucet Arnaud, Cambridge University, United Kingdom; and Senecal Stephane, The Institute of Statistical Math-ematics, Japan

MONTE CARLO BAYESIAN FILTERING AND SMOOTHING FOR TVAR SIGNALS IN SYMMETRICALPHA-STABLE NOISE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 865Marco Lombardi, Universita degli studi di Firenze, Italia; and Simon Godsill, University of Cambridge, UK

NONLINEAR FILTERING APPROACHES FOR GPS/INS INTEGRATION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 873Audrey Giremus, T́esa, France; Arnaud Doucet, University of Cambridge, England; Anne-Christine Escher, ENAC,France; and Tourneret Jean-Yves, Tésa, France

Special Session WedPmSS2: Robust Transmission of Multimedia ContentChair: Michel Kieffer, Universit é Paris-Sud (Suṕelec), France

ON PERFECT RECONSTRUCTION WITH LOST CHANNEL DATA IN LAPPED PSEUDO-ORTHOGONALTRANSFORM. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 877Toshihisa Tanaka, Brain Science Institute, RIKEN, Japan; and Yukihiko Yamashita, Tokyo Institute of Technology,Japan

ERROR-RESILIENT TRANSMISSION OF WAVEFORM SIGNALS USING OVERCOMPLETEEXPANSIONS AND SOFT-INPUT SOURCE DECODING. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 881Jörg Kliewer, University of Kiel, Germany; and Alfred Mertins, University of Oldenburg, Germany

ON THE DESIGN OF OVERSAMPLED FILTER BANKS FOR CHANNEL CODING . . . . . . . . . . . . . . . . . . . . . . . 885Stephan Weiss, University of Southampton, UK

NEW RESULTS AND OPEN PROBLEMS IN REAL-NUMBER CODES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 889Paulo Ferreira, Dorabella Santos and Vera Afreixo, Ieeta / Departamento de Electrónica e Telecomunicações,Portugal

MULTIPLE DESCRIPTIONS SCALABLE VIDEO CODING . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 893Christophe Tillier, B́eatrice Pesquet-Popescu, ENST, France; and Mihaela Van Der Schaar, Univ. of CaliforniaDavis, USA

vii

Session WedPmOR1: Carrier and Phase RecoveryChair: Philippe Ciblat, Ecole Nationale Suṕerieure des T́elécommunications, France

ML FREQUENCY OFFSET AND CARRIER PHASE ESTIMATION IN OFDM SYSTEMS WITHNONCIRCULAR TRANSMISSIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 897Tilde Fusco and Mario Tanda, Universita di Napoli Federico II, Italy

CLUSTERED PILOT TONES FOR CARRIER FREQUENCY OFFSET COMPENSATION IN OFDMSYSTEMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901Wei Zhang, The Chinese University of Hong Kong, Hong Kong SAR of China; Xiang-Gen Xia, University ofDelaware, USA; and Pak-Chung Ching, The Chinese University of Hong Kong, Hong Kong SAR of China

SYNCHRONIZATION OVER RAPIDLY TIME-VARYING MULTIPATH CHANNELS FOR CDMADOWNLINK RECEIVER IN TIME-DIVISION MODE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 905Eric Simon, Kosai Raoof and Laurent Ros, LIS, France

BLIND EQUALISATION AND CARRIER OFFSET COMPENSATION FOR BLUETOOTH SIGNALS . . . . . . . 909Charles Tibenderana and Stephan Weiss, Communications Research Group, School of Electronics and ComputerScience, University of Southampton, United Kingdom

BLIND PHASE RECOVERY FOR QAM CONSTELLATIONS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 913Gianpiero Panci, Dip. INFOCOM, Univ. ”La Sapienza”, Roma, Italy; Patrizio Campisi, Dip. Elettronica, Univ.Roma TRE, Italy; Stefania Colonnese and Gaetano Scarano, Dip. INFOCOM, Univ. ”La Sapienza”, Roma, Italy

Session WedPmOR2: Active Noise ControlChair: Jacob Benesty, Universite du Quebec

A ROBUST NARROWBAND ACTIVE NOISE CONTROL SYSTEM FOR ACCOMODATING FREQUENCYMISMATCH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917Yegui Xiao, Hiroshima Prefectural Women’s University, Japan; Liying Ma and K. Khorasani, Concordia Univer-sity, Canada

MULTI-CHANNEL ACTIVE NOISE CONTROL SYSTEM USING THE PERTURBATION METHOD WITHCORRELATION REMOVAL FILTER . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 921Takaharu Ninagawa, Yoshinobu Kajikawa and Yasuo Nomura, Kansai university, Japan

AN ADAPTIVE ALGORITHMS COMPARISON FOR REAL MULTICHANNEL ACTIVE NOISE CONTROL 925Marı́a De Diego, Alberto Gonźalez, Miguel Ferrer and Gema Piñero, Audio and Multimedia Processing Group,Spain

EFFICIENT IMPLEMENTATION OF THE AFFINE PROJECTION ALGORITHM FOR ACTIVE NOISECONTROL APPLICATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 929Miguel Ferrer, Maŕıa De Diego, Alberto Gonźalez and Gema Piñero, Universidad Politecnica de Valencia,. Audioand Communication Processing group, Spain

VARIABLE LEAKAGE FXLMS ALGORITHMS FOR NONLINEAR ACTIVE CONTROL APPLICATIONS. . 933Orlando Tobias and Rui Seara, LINSE - Federal University of Santa Catarina, Brazil

viii

Session WedPmOR3: Image SegmentationChair: Rudolf Mester, J.W.Goethe-University Frankfurt, Germany

OCCLUDING CONVEX IMAGE SEGMENTATION FOR E.COLI MICROSCOPY IMAGES . . . . . . . . . . . . . . . . 937Zoltan Kutalik, Moe Razaz, University of East Anglia, England; and József Baranyi, Institute of Food Research,England

GEODESIC DISTANCE AND MST BASED IMAGE SEGMENTATION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 941George Economou, Vassilios Pothos, University of Patras, Greece; and Apostolos Ifantis, Technological Educa-tional Institute of Patras, Greece

MULTIVARIATE IMAGE SEGMENTATION USING LAPLACIAN EIGENMAPS . . . . . . . . . . . . . . . . . . . . . . . . . . 945Ioannis Tziakos, Nikolaos Laskaris and Spiros Fotopoulos, Universirty of Patras, Greece

SPATIAL OBJECT DETECTION IN JPEG BITSTREAMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 949Lei Zhou and Charles Creusere, New Mexico State University, USA

EVALUATING THE SEGMENTATION RESULT OF A GRAY-LEVEL IMAGE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 953Śebastien Chabrier, Christophe Rosenberger, Hélène Laurent, Bruno Emile and Pierre Marché, LVR, France

Session WedPmPO1: Design, Implementation, and Applications of DigitalFiltersChair: Chi-Wah Kok, Hong Kong University of Science and Technology

PIPELINE ARRAY IMPLEMENTATION OF FIR FILTERS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 957Paraskevas Kalivas, Paul Bougas, Vassilis Vassilakis, Christos Meletis and Kiamal Pekmestzi, National TechnicalUniversity of Athens, Greece

ON DESIGNING A WIDEBAND FRACTIONAL DELAY FILTER USING THE FARROW APPROACH . . . . . . 961Ewa Hermanowicz, Gdansk University of Technology, Poland

SVD-BASED THEOREM FOR DESIGNING VARIABLE DIGITAL FILTERS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 965Tian-Bo Deng, Toho University, Japan

A SEMIDEFINITE PROGRAMMING (SDP) METHOD FOR DESIGNING L-BAND FREQUENCYRESPONSE MASKING (FRM) FILTERS FOR MULTIRATE APPLICATIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 969Hai Hua Chen and K. L. Ho, Dept. of Electrical and Electronic Engineering, The University of Hong Kong, HongKong SAR of China

GENERALIZED CONVOLUTION CONCEPT BASED ON DCT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 973Przemyslaw Korohoda, University of Science and Technology, Institute of Electronics, Poland; and AdamDabrowski, Poznan University of Technology, Institute of Control and System Eng., Poland

PEAK CONSTRAINED TWO DIMENSIONAL QUADRANTALLY SYMMETRIC EIGENFILTER DESIGNWITHOUT TRANSITION BAND SPECIFICATION. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 977Ying-Man Law and Chi-Wah Kok, Dept. EEE, Hong Kong University of Science and Technology, HONG KONG

SYNTHESIS OF BIRECIPROCAL WAVE DIGITAL FILTERS WITH EQUIRIPPLE AMPLITUDE ANDPHASE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 981Mohamed Yaseen, University of Assiut, Egypt, Egypt

ix

A POWERS-OF-TWO TERM ALLOCATION ALGORITHM FOR DESIGNING FIR FILTERS WITH CSDCOEFFICIENTS IN A MIN-MAX SENSE . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 987Rika Ito, Tokyo University of Science, Japan; Tetsuya Fujie, Kobe University of Commerce, Japan; Kenji Suyama,Tokyo DENKI University, Japan; and Ryuichi Hirabayashi, Tokyo University of Science, Japan

ANALYSIS OF LIMIT CYCLES BY MEANS OF AFFINE ARITHMETIC COMPUTER-AIDED TESTS. . . . . . 991Juan Antonio Ĺopez, Gabriel Caffarena, Carlos Carreras and Octavio Nieto-Taladriz, Dep. Ingenierı́aElectrónica, Univ. Polit́ecnica de Madrid, Spain

Session WedPmPO2: Speech Analysis and SynthesisChair: Gernot Kubin, Graz University of Technology

AUTOMATIC AND ACCUARTE PITCH MARKING OF SPEECH SIGNAL USING AN EXPERT SYSTEMBASED ON LOGICAL COMBINATIONS OF DIFFERENT ALGORITHMS OUTPUTS . . . . . . . . . . . . . . . . . . . . 995Keyvan Ashouri and Mohammad Hassan Savoji, Electrical and Computer Engineering Faculty, Shahid BeheshtiUniversity, Iran

BOUNDARY LAYER RESISTANCE IN TIME DOMAIN SIMULATIONS OF THE VOCAL TRACT . . . . . . . . . 999Peter Birkholz and Dietmar Jackèl, Institute for Computer Sciences, University of Rostock, Germany

DIRECT TIME DOMAIN FUNDAMENTAL FREQUENCY ESTIMATION OF SPEECH IN NOISYCONDITIONS. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1003Hynek Boøil and Petr Pollák, Czech Technical University in Prague, Faculty of Electrical Engineering, CzechRepublic

AUDIOVISUAL TEXT-TO-CUED SPEECH SYNTHESIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1007Guillaume Gibert, Ǵerard Bailly, Fréd́eric Eliséi, Denis Beautemps, ICP, FRANCE; and Rémi Brun, ATTITUDESTUDIO, FRANCE

SPEECH ANALYSIS WITH THE FAST CHIRP TRANSFORM . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1011Marian Kepesi, Vienna Telecommunications Research Center, Austria; and Luis Weruaga, Austrian Academy ofSciences, Austria

A TIME-FREQUENCY DOMAIN APPROACH FOR PITCH-PEAK PICKING OF NOISY SPEECH . . . . . . . . . . 1015Celia Shahnaz, Md. Rokanuzzaman, Md. Adnan, Binaya Shrestha and Shaikh Fattah, BUET, BANGLADESH

PROSODY MODIFICATION AND FUJISAKI’S MODEL: PRESERVING NATURAL SOUNDNESS . . . . . . . . . 1019Pierluigi Salvo Rossi, Dipartimento di Informatica e Sistemistica - Università di Napoli, Italy; Patrizia Falco, Di-partimento di Ingegneria Elettronica e delle Telecomunicazioni - Università di Napoli, Italy; Alessandra Budillon,Dipartimento di Ingegneria dell’Informazione - Seconda Università di Napoli, Italy; Davide Mattera, Diparti-mento di Ingegneria Elettronica e delle Telecomunicazioni - Università di Napoli, Italy; and Francesco Palmieri,Dipartimento di Ingegneria dell’Informazione - Seconda Università di Napoli, Italy

ROBUST SPEAKER VERIFICATION WITH PRINCIPAL PITCH COMPONENTS. . . . . . . . . . . . . . . . . . . . . . . . . . 1023Robert Nickel, Sachin Oswal and Ananth Iyer, The Pennsylvania State University, USA

PHASE-MISMATCH-FREE AND DATA EFFICIENT APPROACH TO NATURAL SOUNDING HARMONICCONCATENATIVE SPEECH SYNTHESIS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1027Zbynek Tychtl, University of West Bohemia in Pilsen, Czech Republic

RELATIVE ENERGY AND INTELLIGIBILITY OF TRANSIENT SPEECH COMPONENTS . . . . . . . . . . . . . . . . 1031Sungyub Yoo, J. Robert Boston, John D. Durrant, Kristie Kovacyk, Stacey Karn, Susan Shaiman, Amro El-Jaroudiand Ching-Chung Li, Univ of Pittsburgh, USA

x

Special Session WedPmSS3: Content Understanding and Knowledge Mod-elling for MultimediaChair: Anastasios Doulamis, National Technical University of Athens, Greece

IMAGE RETRIEVAL WITH RANDOM BUBBLES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1035Fabrizio Guerrini, Riccardo Leonardi and Pierangelo Migliorati, DEA - University of Brescia, Italy

MODELLING OF VISUAL FEATURE DERIVATION IN THE VIZIR FRAMEWORK . . . . . . . . . . . . . . . . . . . . . . . 1039Horst Eidenberger, Vienna University of Technology, Austria

IMAGE SEGMENTATION SEARCH ENGINE: ADVANCED ACCESS TO AN IMAGE ARCHIVE DATABASE 1043Sam H. Minelli and Andrea De Polo, Fratelli Alinari IDEA, Italy

AUDIO SPECTRUM PROJECTION BASED ON SEVERAL BASIS DECOMPOSITION ALGORITHMSAPPLIED TO GENERAL SOUND RECOGNITION AND AUDIO SEGMENTATION. . . . . . . . . . . . . . . . . . . . . . . 1047Hyoung-Gook Kim and Thomas Sikora, Technical University of Berlin, Germany

MULTISCALE NON-LINEAR VIDEO CONTENT DECOMPOSITION: ANALYSIS AND EVALUATION . . . . 1051Anastasios Doulamis and Nikolaos Doulamis, National Technical University of Athens, Dept. of Electrical andComputer Engineering, GREECE

Special Session WedPmSS4: Poissonian Models for Signal and Image Pro-cessingChair: Jean-Yves Tourneret, University of Toulouse, France

FAST, NEAR-OPTIMAL, MULTIRESOLUTION ESTIMATION OF POISSON SIGNALS AND IMAGES . . . . . 1055Rebecca Willett and Robert Nowak, Rice University and University of Wisconsin, USA

TWO STATE MARKOV MODELLING AND DETECTION OF SINGLE ELECTRON SPIN SIGNALS . . . . . . . 1059Alfred Hero, Michael Ting and Jeffrey Fessler, University of Michigan, USA

COINCIDENCE ANALYSIS OF POINT PROCESSES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1063Bernard Picinbono and Cherif Bendjaballah, CNRS-ESE-University Paris XI, France

MULTIVARIATE MIXED POISSON DISTRIBUTIONS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1067Andŕea Ferrari, Astrophysique, university of Nice, France; Gérard Letac, LSP-UPS, university of Toulouse,France; and Jean-Yves Tourneret, ENSEEIHT-IRIT-TéSA, university of Toulouse, France

INFLUENCE OF SPECKLE AND POISSON NOISE ON EXOPLANET DETECTION WITH ACORONAGRAPH . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1071Claude Aime, UMR 6525 LUAN - UNSA, France; and Rémi Soummer, Space Telescope Science Institute, USA

Session WedPmOR4: Performance of Communication SystemsChair: Christoph F. Mecklenbr äuker, Telecommunications Research Center Vienna (ftw.)

ADAPTIVE MODULATION IN MISO WIRELESS SYSTEMS WITH DISCRETE LOW-RATE POWERFEEDBACK. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1075Miquel Payaŕo and Miguel Angel Lagunas, Centre Tecnològic de Telecomunicacions de Catalunya, Spain

xi

GENERALIZED MULTIPACKET RECEPTION MODEL FOR HETEROGENEOUS NETWORKS . . . . . . . . . . . 1079Marc Realp, CTTC, Spain; and Ana I. Perez-Neira, UPC, Spain

CONTINUOUS PHASE MODULATIONS FOR FUTURE SATELLITE COMMUNICATION SYSTEMS . . . . . . 1083Chaggara Ridha, Boucheret Marie-Laure, ENST/TéSA, France; Caroline Bazile, Bouisson Emmanuel, CNES,France; Ducasse Alain and Gayrard Jean-Didier, Alcatel Space, France

SIMPLIFIED BOUNDS FOR THE COMPLEMENTARY ERROR FUNCTION; APPLICATION TO THEPERFORMANCE EVALUATION OF SIGNAL-PROCESSING SYSTEMS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1087Natalia Ermolova and Sven-Gustav Haggman, Helsinki University of Technology, Finland

ERROR ANALYSIS OF ULTRA-WIDEBAND HYBRID ANALOGUE-TO-DIGITAL CONVERSION . . . . . . . . 1091Heiko Kopmann and Heinz G. Göckler, Ruhr-Universiẗat Bochum, Germany

Session WedPmOR5: Signal Processing ApplicationsChair: Billur Barshan, Bilkent University, Turkey

APPLICATION OF NON-NEGATIVE MATRIX FACTO

Documents

XII. European Signal Processing Conference EUSIPCO-2004iii Welcome message On behalf of the Organizing Committee, it is a real pleasure and a great honour to welcome you in Vienna