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Department of Electronics & CommunicationCollege of Engineering, Trivandrum

Scheme & Syllabus for 2 year M.Tech in Signal Processing 2005-2006

SEMESTER IStream : Signal Processing

Sl. No.

Code Name of the Subject No. of Credits

Hours/

Week

Duration of Written

Exam

Sessional Marks

Written Exam Marks

Total Marks

1. TSC 1001 Linear algebra for Signal processing 3 3 3 50 100 1502. TSC 1002 Random Processes for Signal Processing 3 3 3 50 100 1503. TSC 1003 Estimation and Detection Theory 3 3 3 50 100 1504. TSC 1004 DSP Processor & Architecture 3 3 3 50 100 1505. TSC 1005 Digital Filter Design & Application 3 3 3 50 100 1506. TSC 1006 Data Compression Techniques 3 3 3 50 100 1507. TSC 1101 DSP Systems Lab 1 2 - 50 - 508. TSC 1102 Seminar 1 3 - 50 - 50

Total 20 23 400 600 1000

SEMESTER IIStream : Signal Processing

Sl. No.

Code Name of the Subject No. of Credits

Hours/

Week

Duration of Written

Exam

Sessional Marks

Written Exam Marks

Total Marks

1. TCC 2001 Digital Image Processing 3 3 3 50 100 1502. TSC 2002 Multirate Systems & Wavelets 3 3 3 50 100 150

3. Elective I 3 3 3 50 100 150

4. Elective II 3 3 3 50 100 150

5. Elective III 3 3 3 50 100 150

6. Interdisciplinary Elective * 3 3 3 50 100 150

7. TSC 2101 Speech and Image Processing Lab / Project 1 2 - 50 - 508. TSC 2102 Seminar 1 3 - 50 - 50

Total 20 23 400 600 1000

* Interdisciplinary Elective will be selected from the list of interdisciplinary Electives for the second semester M.Tech. students in Electronics & Communication Department.

List of Electives I, II, III for II Semester M. Tech in Signal Processing

TSE 2001 Digital Communication Techniques TSE 2002 DSP Applications in MultimediaTSE 2003 Speech Signal ProcessingTSE 2004 Statistical Signal ProcessingTSE 2005 Optical Signal processing TSE 2006 BiometricsTCE 2001 Neuro Fuzzy SystemsTCE 2002 Design of VLSI SystemsTCE 2003 Biomedical Signal Processing TCE 2004 Embedded Systems HardwareTCE 2006 Mobile Communication

List of Interdisciplinary electives, which can be selected by the Second Semester M. Tech students in in Electronics & Communication Department.

CTI 2001 OPERATION RESEARCH AND COMPUTER APPLICATIONSEPI 2002 NEW AND RENEWABLE SOURCES OF ENERGYMDI 2001 APPLIED FINITE ELEMENT METHODSMDI 2002 MANAGEMENT INFORMATION SYSTEMMDI 2004 ACOUSTICS AND NOISE CONTROL MII 2002 ADVANCED OPERATIONS RESEARCHMII 2003 STATISTICAL QUALITY CONTROLTAI 2001 MECHATRONICSTCI 2003 INTERNET TECHNOLOGIES

Interdisciplinary Electives offered by Department of Electronics & Communication.TAI 2001 MECHATRONICSTAI 2002 COMPUTER GRAPHICS AND IMAGE PROCESSING TCI 2001 COMPUTER NETWORKING TCI 2002 DIGITAL SIGNAL PROCESSING TCI 2003 INTERNET TECHNOLOGIESTCI 2004 MULTIMEDIA SYSTEMSTCI 2005 SATELLITE AND CELLULAR COMMUNICATIONS

SEMESTER IIISTREAM: Signal Processing

Sl. No.

Code Name of the Subject No. of

Credits

Hours/

Week

Duration of Written

Exam

Sessional Marks

Written Exam Marks

Total Marks

1. Elective IV 3 3 3 50 100 150

2. Elective V 3 3 3 50 100 150

3. TSC 3101 Industrial Interaction with seminar

2 3 - 100 - 100

4. TSC 3102 Thesis- Preliminary 4 14 - 200 - 200Total 12 23 400 200 600

Elective IV & V from the list of Electives for III Semester.

List of Electives IV, V for III Semester M. Tech in Signal Processing.

TSE 3001 Spectral AnalysisTSE 3002 Design of CDMA SystemsTSE 3003 Array Signal ProcessingTSE 3004 Computer Vision

TSE 3005 Information hiding & Data Encryption

TSE 3006 Architectural Synthesis & Optimization

TSE 3007 Current Topics in Signal Processing

TCE 3003 Simulation of Communication Systems & Networks

SEMESTER IV (Thesis Work)STREAM: Signal Processing

Sl. No.

Code Name of the Subject

No. of Credits

Hours/Week

Duration of Written

Exam

Sessional Marks University Exam Marks

Total MarksGuide Internal

Evaluation

1. TSC 4101 Thesis – final 12 29 - 200 200 200 600

TSC 1001 Linear algebra for Signal Processing 3-0-0

Vector Space: - Group, Ring, Field, Vector spaces. Subspaces, Linear independence, Span, basis, dimension, finite dimensional vector spaces, direct sum. Examples of finite dimensional vector spaces – RN, CN, vector space of matrices.

Matrix as a set of vectors :- Row space, Column Space. Dimensionality of Row and Column space (rank of the matrix). Non-singular, Hermitian and Unitary matrices.

Linear Transformation :- Linear Transformation, range and null space, rank nullity theorem, Matrix representation of linear transform. Change of basis, projection, transpose, linear functionals and dual spaces. Infinite dimensional vector spaces, function space.

System of Linear equations :- Fundamental subspaces, Existence and uniqueness of solution, Least squares solution.

Inner Product spaces :- Inner Product spaces, norm, orthogonality, Hilbert spaces, orthogonal complements, projection theorem, orthogonal projections, orthonormal basis.

Diagonalizability :- Eigen values and Eigen vectors. Diagonalizability, Properties of Eigen values and Eigen vectors of Hermitian matrices. Circulant and Toeplitz Matrices, Convolution as a Matrix Operation. Diagonalization of LTI operator, DFT. SVD, Pseudo inverse, QR decomposition, Schur decomposition.

Reference

1. Linear Algebra. Hoffman Kenneth and Kunze Ray. Prentice Hall of India.2. An Introduction to Wavelets Through Linear Algebra. Frazier, Michael W. Springer

Publications.3. Linear Algebra And Its Applications. Gilbert Strang. Thomson Learning.

The question paper shall have six questions of 20 marks covering entire syllabus out of which any five shall be answered. It shall have 50% problems and applications & 50% theory.For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper /

assignments based on hardware/software simulation in related topics. (any available software packages)

TSC1002 Random Processes for Signal Processing 3-0-0

Probability space: - Motivation for probability- Coin and die tossing. Set representation, subset and complement of a set. De Morgan’s laws. Finite and countable sets, set theoretic difference (A\B). Sample space, field, σ-field, Borel set, Probability space.

Random Variable :- Definition of random variable, dynamical system. Continuous and discrete random variable. Probability mass function and Probability density function, Cumulative distribution function, Basic distribution functions- binomial, uniform, exponential and normal. Properties of these distribution functions.

Random Vector: - Definition of random vector. Joint statistics. Independent events and conditional probability. Bayes Rule. Total probability theorem. Sum and transformation of random variables.

Characteristic Function: - Expectation, variance and characteristics function, moments. Properties of characteristics function, Covariance and correlation. Fundamental Theorem of expectation.

Random process: - Definition of Random process, IID process, Poisson process, properties of Poisson process, Markov process, birth-death process, Wiener process.

Convergence: - Markov and Chebyshev inequalities, weak and strong law of large numbers, Central Limit Theorem. Convergence of random sequences- almost sure convergence, convergence in probability, convergence in mean

Stationarity: - Stationary and ergodic process – point-wise ergodic theorem, ergodic decomposition.

Reference1. Athanasios Papoulis and S. Unnikrishna Pillai. Probability, Random Variables and

Stochastic Processes, TMH2. Stark Henry, Probability and Random Processes With Application to Signal Processing,

3/e, Pearson Education India

Reading1. Dr. Kishor S. Trivedi. Probability and Statistics with Reliability, Queuing, and

Computer Science Applications, John Wiley and Sons, New York, 2001. 2. Kingsbury N. Random Processes [Connexions Web site]. January 22, 2004. Available

at: http://cnx.rice.edu/content/col10204/1.3/3. An Introduction to Statistical Signal Processing. Gray, R. M. and Davisson L. D.

Available at: http://www-ee.stanford.edu/~gray/sp.html

The question paper shall have six questions of 20 marks covering entire syllabus out of which any five shall be answered. It shall have 50% problems and applications & 50% theory.For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics.

TSC 1003 Estimation and Detection Theory 3-0-0

Detection Theory

Hypothesis testing, Criteria in Hypothesis Testing, Neyman Pearson criterion, Bayes criterion and Minimum Probability of Error criterion. Likelihood Ratio Test. Application examples: signal constellations and the matched filter, binary symmetric channel. Detection with unknown signal parameters (UMP tests, GLRT, Bayes factor). MAP rule. Multiple decision problem. Detection of deterministic and random signals in noise.

Parameter Estimation

Unbiased estimates. Minimum variance unbiased estimates. Methods of finding MVUE. Cramer-Rao bound. Sufficient statistics, Rao-Blackwell theorem. BLUE. Method of moments, Maximum likelihood estimators, Bayes estimators (MAP, MMSE).

Linear Estimators

MA, AR, ARMA processes and their properties, MMSE linear estimate. Weiner Filter. Kalman Filter. Lattice filter structure, Levinson Durbin and innovation algorithms.

Reference

1. H. L. Van Trees. (1968). Detection, Estimation, and Modulation Theory, vol. I, John Wiley & Sons.

2. Steven Kay. (1993). Fundamentals of Statistical Signal Processing Volume II: Detection Theory. Prentice Hall.

3. Steven Kay. (1993). Fundamentals of Statistical Signal Processing Volume I: Estimation Theory. Prentice Hall.

Reading

1. Scott C. Statistical Signal Processing [Connexions Web site]. June 14, 2004. Available at: http://cnx.rice.edu/content/col10232/1.1/

The question paper shall have six questions of 20 marks covering entire syllabus out of which any five shall be answered. It shall have 50% problems and applications & 50%

theory.

For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (Using MATLAB or any available software packages)

TSC 1004 DSP Processor and Architecture 3-0-0

Review of Pipelined RISC Architecture and Instruction Set Design.Performance and Benchmarks- SPEC CPU 2000, EEMBC DSP benchmarks. Basic Pipeline: Implementation Details- Pipline Hazards (based MIPS 4000 arch).Instruction Level Parallelism (ILP): Concepts, Dynamic Scheduling - Reducing Data hazards. Dynamic Hardware Prediction - Reducing Branch Hazards. Multiple Issue- Hardware-based Speculation. Limitaions of ILP. Review of Memory Hierarchy - Cache design, Cache Perfomance Issues & Improving Techniques. Computer arithmetic- Signed Digit Numbers(SD) - Multiplier Adder Graph - Logarithmic and Residue Number System(LNS, RNS) - Index Multiplier - Pipelined Adders - Modulo Adders - Distrbuted Arithmetic(DA) - CORDIC Algorithm. Case studies: Introduction to architecure Details of (a) BlackFin processor (Analog Devices), (b) TMS320C54X , (c) TMS320C64X

Reference 1. Computer Architecture A Quantitative Approach; 3 Edition, JL Hennesy, D.A. Patterson, Elsivier India Chapter 1, Appendix A, Chapter 3, Chapter 5 (5.1 - 5.8) 2. Digital Signal Processing with FPGAs, Uwe Mayer-BAeses, Springer, 2001 Chapter 2

Reading

1. Blackfin Processor Hardware Reference, Analog Devices, Version 3.0, 2004

(Section 2.3-2.53, 4.7-4.15, 6.1 -6.53)2. Digital Signal Processor, Architecture Programming and Applications, D Venkat

Remani, M Bhaskar, Tata Mc GrawHill, 20023. DSP Processor fundamentals : Architecture and Features. Phil Lapsley, J Bier, Amit

Sohan, Edward A Lee; Wiley IEEE Press.4. Digital Signal Processors. Sen M. Kuo, Woon-seng S. Gan, Prentice Hall.5. Processor Manuals.

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 25% problems and application & 75% Theory.For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (any available software packages)

TSC 1005 digital filter design and Applications 3-0-0

LTI SystemsLTI systems as frequency selective filters. Invertibility of LTI systems. Minimum phase, maximum phase and mixed phase systems. All-pass filters. Design of digital filters by placement of poles and zeros.

Filter DesignDesign of FIR filters. Ensuring linear phase response. Window method, Frequency sampling and Parks-McClellan method. Design of IIR filters. Impulse invariance, bilinear transformation and Matched-z transformation. Least squares design method. Frequency transformations. Design of FIR and IIR filters using Matlab or Octave.

Filter ImplementationStructures for FIR and IIR systems. Lattice structure. Quantization of Filter co-efficients. Round off effects in digital filters.

TransformsDFT as a linear transformation. Linear filtering methods based on DFT. Frequency analysis of signals using DFT.

2-D Signal ProcessingTheory of two-dimensional signal processing: Two dimensional DFT- design of 2D FIR and IIR filters- windowing and frequency sampling methods- Transformations from one to two dimensions.

Reference1. Proakis, Manolakis, Digital Signal Processing: Principles, Algorithms, and

Applications, Prentice Hall India.2. Rabiner ,Gold , Theory and Application of Digital Signal Processing, PHI, 19993. Ingle, Proakis, Digital Signal Processing Using MATLAB, Vikas Thomson Learning

Reading1. Jae S. Lim, Two-dimensional signal and image processing, Prentice-Hall2. Handbook of Digital Signal Processing- Engineering Application , Douglas F. Elliott

Academic Press3. Jones D. Digital Filter Design [Connexions Web site]. June 9, 2005. Available at: http://

cnx.rice.edu/content/col10285/1.1/

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 50% problems & 50% Theory.For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (Using MATLAB or any available software packages)

TSC 1006 Data Compression Techniques 3-0-0

Compression techniques – Loss less compression, lossy compression. Measures of performance. Introduction to information theory. Source models

Coding-Unique decoding, prefix codes. Huffman coding, Adaptive Huffman coding Application of Huffman coding.Arithematic coding : coding & decoding. Comparison with Huffman coding.Dictionary techniques. Predictive coding. Lossy codingHuman visual & Audio Systems. Scalar Quantization, Vector Quantization, Adaptive vector quatization.

Transform coding, Subband coding.Introduction to JPEG, JPEG 2000 & MPEG

Reference

1. Introduction to data compression-Khalid Sayood , Morgan Kaufmann 20012. Video Compression, Peter Symes, McGraw Hill3. Digital Image Processing, RC Gonzalez, RE Woods, Addison –Wesley4. Digital Speech, AM Kondoz, John Weily & Sons.

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 25% problems & 75% Theory.For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (Using MATLAB or any available software packages)

TSC 1101 DSP Systems Lab 0-0 2

Development Environment

Familiarization to DSP project development stages. Study of the features of the processor used. Development environment.

High Level Language Project Development

Developing projects in a high level language and cross-compiling. Familiarization with the debugging facilities of the IDE. Profiling. Optimizations in C.

Assembly Optimizations

Assembly coding. Function calling conventions. Calling assembly functions from C. Optimization by coding core modules in assembly.

Memory Map

Understand the memory map of the processor. Optimizations by using internal memory.

Real Time Processing.

Using the ADC and DAC for signal acquisition and play back. Real time filtering.

Mini Project (Compulsory) The student should do a Mini project based on the above area, and a report should be submitted along with the lab record. A viva–voce will be conducted at the end of semester.

Reference

1. Jones D. DSP Laboratory with TI TMS320C54x [Connexions Web site]. January 22, 2004. Available at: http://cnx.rice.edu/content/col10078/1.2/

2. The manuals of the IDE and Processor being used.

Marks : Lab + Record = (15+10) Mini Project = Performance (15) + Viva (10)

TSC 1102 SEMINAR 0-0-3

The student is expected to present a seminar in one of the current topics in Electronics, Communication, Instrumentation, Computers, Information Technology, Control systems and related areas with application of Signal Processing. The student will under take a detailed study based on current published papers, journals, books on the chosen subject and submit seminar report at the end of the semester.

Marks: Seminar Report Evaluation: 25 Seminar Presentation: 25

TCC 2001 Digital Image Processing 3-0-0

Basics of Image processing, RGB and HSV colour model, 2D sampling theorem, Moire Effect and flat field response. Stereocscopic imaging – Stereoscopic vision and depth extraction from stereo scopic images. 2D transform coding and application properties, KL transform, DCT and Wavelet transform. Image enhancement operation – median filtering, histogram equivalisation, neighbour hood averaging, contrast streching , false colouring techniques etc. Thresholding of images. Simple thresholding, using two peaks of histogram, iterative thresholding. Geometric transforms – Digital Image Warping and Morphing. Segmentation – region growing , region merging and split and merge , watershed segmentation. Mathematical morphology – binary and gray level morphological operations. Image thinning algorithms. Distance transforms four neighbourhood and eight neigbourhood distance transforms, medial axis transforms. Image based measurement – measurement of area, perimeter, moments, fourier discriptors, geometrical features etc.

Reference:1. Digital Image Processing - Anil K Jain PHI2. Digital Image Processing – Gonzalez3. Digital Image Processing – Chanda & Majumdar.

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 75% problems & 25% Theory. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (Using MATLAB or any available software packages)

TSC 2002 MULTIRATE SYSTEMS & Wavelets 3-0-0

Basic multirate operations and their spectral representation. Linear Periodically Time varying systems, Vaidyanathan's Identities, Efficient represntation of anti aliasfilters and interpolation Filters, Fractional Sampling rate alteration, Polyphase representation of filter, M-channel filterbanks, Uniform DFT filterbanks

Ployphase representation of M-channel filterbanks, Distortions in Fiterbanks, conditions for Perfect Reconstruction (PR) , 2-channel QMF filterbanks, Paraunitaryness, Paraunitary PR filterbanks, Factorization of Paraunitary filterbanks, Lattice Structure, 2-channel paraunitary filterbanks, M-channel Paraunitary filterbanks. Cosine Modulated Filterbanks, PR Cosine modulated Filterbanks, Pseudo QMF filterbanks. Tree structured Filterbanks.

Wavelet Transform by multiresolution :- Scaling subspaces, Wavelet subspaces, Requirements for MRA (Dialation, Transalation, Basis), Dialation equation, Transalation equation, MRA examples ( Piecewise constant functions, Cubic Splines, Daubchies functions) Scaling Functions, Wavelets from filters, Wavelet coefficients by recursion, lowpass iteration and cascade algorithm.

Reference

1. Multirate Systems & Filterbanks , PP Vaidyanathan, Prentice Hall2. Wavelets and Filterbank, G Strang & T Nguyen , Wellesly-Cambridge3. Wavelets and subband coding, M Vetterli & J Kovacevic, Prentice Hall

Reading

Handbook of Digital Signal Processing Engineering Application , Douglas F. Elliott Academic Press


TSC 2101 SPEECH & IMAGE PROCESSING LAB 0-0-2

Speech Processing

Understanding various audio and speech file formats and conversion utilities. Reading and writing audio data files using Matlab or Octave.

Implementation of different speech compression techniques. DPCM, Adaptive Quantization, ADPCM, Transform coding. Testing the compression ratio and the objective and subjective quality of the schemes.

Image Processing

Reading, display and saving of different image file formats (PCX, BMP, TIFF, PNG, PGM) using Matlab and C.

Implementation of 2-D transforms (DFT, DCT, Walsh transform and Wavelets).

Image Enhancement operations :- Median filtering, neighborhood averaging, false coloring, edge enhancement. Low-pass, high-pass and band-pass filtering.

Edge detection techniques :- Canny, Sobel, Lapalcian.

Image segmentation :- Region growing, thresholding, watershed

Morphological image processing :- Binary and gray level morphology.

Image parameter estimation. Image restoration, Weiner filtering.

Mini Project (Compulsory)

The student should do a Mini project based on the above area, and a report should be submitted along with the lab record. A viva–voce will be conducted at the end of semester.

Marks : Lab + Record = (15+10) Mini Project = Performance (15) + Viva (10)

TSC 2102 SEMINAR 0-0-3

The student is expected to present a seminar in one of the current topics in application of Signal Processing in Electronics, Communication, Instrumentation, Computers, Information Technology, Control systems and related areas. The student will under take a detailed study based on current published papers, journals, books on the chosen subject and submit seminar report at the end of the semester.

Marks: Seminar Report Evaluation : 25 Seminar Presentation : 25

TSE 2001 DIGITAL COMMUNICATON TECHNIQUES 3-0-0

Channel Models :- Digital communication system model. Communication Channels and their characteristics. Mathematical models for communication channels. AWGN channel.

Modulation Schemes :- Selected modulation schemes. Geometric (signal space) representation of modulated signals.

Receivers for AWGN channel :- Demodulation - Correlation and Matched filter receiver. Detection - Maximum likelihood detectors. Performance analysis of selected modulation schemes over AWGN channel. Computational complexity of ML detectors. Sub optimal detectors.

Source Coding :- Discrete memory-less source. Entropy. Mutual information. Source coding. Unique decodability. Prefix codes. Huffman coding. Differential entropy.

Channel Capacity :- Channel capacity theorem (Without proof). The channel capacity curve. The Gap between Uncoded Performance and the Shannon Limit.

Error Control Coding :- Error control coding. Block codes - Linear codes, cyclic codes. Error detection and correction capabilities. Convolution codes - Optimum decoding of convolutional codes. Viterbi decoding. Introduction to capacity achieving codes (Trellis and Turbo codes).

Reference1. Proakis, J. G, Digital Communications 4/e, McGraw-Hill

Reading1. Viterbi, A. J., and J. K. Omura. Principles of Digital Communication and Coding. NY:

McGraw-Hill, 1979. ISBN: 0070675163.2. Wozencraft, J. M., and I. M. Jacobs. Principles of Communication Engineering. NY: Wiley,

1965. ISBN: 0471962406.

3. MIT OpenCourseWare, Electrical Engineering and Computer Science,Principles of Digital Communication II, Spring 2003

4. Aazhang B. Digital Communication Systems [Connexions Web site]. January 22, 2004. Available at: http://cnx.rice.edu/content/col10134/1.3/


TSE 2002 DSP Applications in multimedia 3-0-0

Multimedia Data Representations

Basics of Digital Audio - Digitization of Sound, Typical Audio Formats (.au, .wav) Introduction to MIDI. Graphic/Image File Formats - Graphic/Image Data Structures. Standard System Independent Formats (GIF, JPEG, TIFF, PNG, PS, EPS). System A Dependent Formats (XBM, BMP). Color in Image and Video :- Basics of Color. Human visual system, Rods and Cones. Color Models in Images (RGB, CMY). Color Models in Video (RGB, YUV, YCrCb). Basics of Video :- Types of Color Video Signals, Analog Video, Digital Video.

Basics of Signal Compression

Lossless Compression Algorithms - Basics of Information Theory. Huffman Coding. Adaptive Huffman Coding. Lempel-Ziv-Welch Algorithm. Lossy Image Compression – Overview of JPEG. JPEG 2000

Video Compression

Fundamentals of Lossy Video Compression - Intra Frame and Inter Frame redundancy. Motion estimation techniques. Motion compensation. Intra Frame Prediction. Faster algorithms for motion estimation. De-blocking. Rate Control. Overview of Video Standards – MPEG video standards, Video Teleconferencing Standards.

Audio Compression

Simple Audio Compression Methods. Psychoacoustics. Overview of Audio Standards - MPEG, AAC, AC3.

Reference

3. V. Bhaskaran and K. Konstantinides, "Image and Video Compression Standards: Algorithms and Architectures", 2nd ed., Kluwer Academic Publishers, 1997.

4. Steinmetz, Ralf; Nahrstedt, Klara, "Multimedia Fundamentals, Volume 1: Media Coding And Content Processing", Pearson Education India, 2002

5. Keith Jack, "Video Demystified: A Handbook for the Digital Engineer", 4th ed, Newnes, 2004.

4. Symes, Peter D, "Video Compression Demystified", McGraw-Hill, 2001

The question paper shall have six questions of 20 marks covering entire syllabus out of which any five shall be answered. It shall have 25% problems and applications & 75% theory.


TSE 2003 SPEECH SIGNAL PROCESSING 3-0-0

Speech Production :- Acoustic theory of speech production (Excitation, Vocal tract model for speech analysis, Formant structure, Pitch). Articulatory Phonetic (Articulation, Voicing, Articulatory model). Acoustic Phonetics ( Basic speech units and their classification).

Speech Analysis :- Short-Time Speech Analysis, Time domain analysis (Short timeenergy, short time zero crossing Rate, ACF ). Frequency domain analysis (Filter Banks, STFT, Spectrogram, Formant Estimation &Analysis). Cepstral Analysis

Parametric representation of speech :- AR Model, ARMA model. LPC Analysis ( LPC model, Auto correlation method, Covariance method, Levinson-Durbin Algorithm, Lattice form).LSF, LAR, MFCC, Sinusoidal Model, GMM, HMM

Speech coding :- Phase Vocoder, LPC, Sub-band coding, Adaptive Transform Coding , Harmonic Coding, Vector Quantization based Coders, CELP

Speech processing :- Fundamentals of Speech recognition, Speech segmentation. Text-to-speech conversion, speech enhancement, Speaker Verification, Language Identification, Issues of Voice transmission over Internet.

Reference

1. Speech Communications : Human & Machine by Douglas O'Shaughnessy, IEEEPress, Hardcover 2nd edition, 1999; ISBN: 0780334493.

2. Speech and Audio Signal Processing : Processing and Perception of Speechand Music by Nelson Morgan and Ben Gold, July 1999, John Wiley & Sons,ISBN: 0471351547

3. Digital Processing of Speech Signals, Rabiner and Schafer, PrenticeHall, 1978.

4. Fundamentals of Speech Recognition, Rabiner and Juang, Prentice Hall,1994.

5. Discrete-Time Speech Signal Processing: Principles and Practice byThomas F. Quatieri Publisher: Prentice Hall; ISBN: 013242942X; 1st edition

(October 29, 2001)6. Speech Processing and Synthesis Toolboxes by Donald G. Childers, John

Wiley & Sons, September 1999; ISBN: 0471349593



TSE 2004 STATISTICAL Signal Processing 3-0-0

Course ObjectiveIntroduction to the various techniques used to predict the outcomes of a random process. System identification. The students should be able to appreciate the various filters, their inherent assumptions and the statistics they require. They should also have a top-level understanding of the convergence issues, computational complexities and optimality of different filters.

Recap of fundamentals :- Correlation matrix and its properties, its physical significance. Eigen analysis of matrix, structure of matrix and relation with its eigen values and eigen vectors. Spectral decomposition of corr.matrix, positive definite matrices and their properties their physical significance. Complex Gaussian processes,MA, AR, ARMA processes and their properties, method of Lagrange multipliers. LMMSE Filters :- Goal of adaptive signal processing, some application scenarios,problem formulation, MMSE predictors, LMMSE predictor, orthogonality theorem (concept of innovation processes), Weiner filter, Yule-walker equation, unconstrained Weiner filter (in z domain), recursive Weiner filter (using innovation process). Kalman filter, recursions in Kalman filter, Extended Kalman filter, comparison of Kalman and weiner filters.Adaptive filters :- Filters with recursions based on the steepest descent and Newton'smethod, criteria for the convergence, rate of convergence. LMS filter, mean and variance of LMS, the MSE of LMS and misadjusment, Convergence of LMS. RLS recursions, assumptions for RLS, convergence of RLS coefficients and MSE.Lattice filters :- Filter based on innovations, generation of forward and backward

innovations, forward and reverse error recursions. Implementation of Weiner, LMS and RLS filters using lattice filters, Levinson Durbin algorithm, reverse Levinson Durbin algorithm.

Tracking performance of the time varying filters :- Tracking performance of LMS and RLS filters. Degree of stationarity and misadjustment, MSE derivations,Applications :- System identification, channel equalization, noise and echo cancellation.

Applications in array processing, beam forming.

References

1. S. Haykin. (1986). Adaptive Filters Theory. Prentice-Hall.2. Dimitris G. Manolakis, Vinay K. Ingle, Stephan M Krgon : Statistical and Adaptive

Signal Processing Mc Graw Hill (2000)

Reading1. Jones D. Adaptive Filters [Connexions Web site]. May 12, 2005. Available at: http://

cnx.rice.edu/content/col10280/1.1/

The question paper shall have six questions of 20 marks covering entire syllabus out of which any five shall be answered. It shall have 25% problems and applications & 75% theory.For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (Using any available software packages)

TSE 2005 opticAL Signal Processing 3-0-0

Analysis of two dimensional signals and systems. Foundations of diffraction theory. Fresnel and Fraunhofer diffraction. Wave optics analysis of Coherent Optical Systems. Frequency analysis of optical imaging systems. Wavefront modulation. Analog optical information processing. Holography.

ReferenceIntroduction to Fourier Optics, Joseph W. Goodman, second edition Mc Graw Hill

Reading1. Optical data processing-Applications D. Casasent, Springer-Verlag, Berlin, 19782. Handbook of holography, H.J. Caulfield, Academic Press New York 19793. The Fourier Transform and its applications to Optics P.M. Dufffieux, John Wiley and sons 1983

4. Optical Signal Processing J. Horner Academic Press 1988



TSE 2006 BIOMETRICS 3-0-0

Introduction. Fingerprints: Analysis and Representaion, Matching, Classification and Indexing, Non-linear deformation, mosaicking. Iris: Analysis using texture-based methods. Face: Detection, tracking and recognition. Speech Recognition.

Multimodal Biometrics: Fusion techniques, score normalization. Security: Biometric watermarking.

Reference

1. Handbook of Fingerprint Verification, D Maltoni, D Maio, AK Jain, S Prabhakar, Springer Verlag, 20032. Biometric Authentication: A Machine Learning Approach, S.Â Y.Â Kung, M.Â W.Â Mak, S.Â H.Â Lin, Prentice Hall PTR, 20043. Introduction to Biometrics and Network Security, Paul Reid, Prentice Hall PTR, 20043. Computer Vision, A Modern Approach, David A. Forsyth, Jean Ponc, Prentice Hall,

2002


For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (any available software packages)

TCE 2001 Neuro Fuzzy System 3-0-0

Supervised and unsupervised learning. Perception learning algorithm – multilayer perception – Kohorens self organizing networks – Hop field networks – The Boltzmann machine – Adaptive Resonance theory. Crisp sets and fuzzy sets – operation on fuzzy sets – fuzzy relations – fuzzy control systems – simple examples – Model based and learning based fuzzy control – Neural networks and fuzzy systems – Fuzzy neural control – Back propagation based neural network fuzzy controller

Reference 1. Bart Kosko – “Neural Networks and Fuzzy Systems”2. Junhong Nie & Derk Linkens - “Fuzzy Neural Control (PHI)3. Haykin S – “Neural Networks, a comprehensive foundation” – Pearson Education4. Yegna Narayana B – “Artificial Neural Networks” – PHI5. G J Klir & Tina A Folger – “Fuzzy sets, Uncertainty and Information”6. Timothy J Ross – “Fuzzy logic with Engineering Applications”


TCE 2002 Design OF VLSI SYSTEMS 3 - 0 - 0

Introduction to Solid State electronics, MOS transistor theory, CMOS processing technology, CMOS circuit and logic design, fully complementary, transmission gate and dynamic logic, design of latches, registers and memory PLA’s address, counters and multipliers in CMOS.

Reference: 1. Jan M Rabacy, Digital Integrated Circuits, PHI

Reading:1. Waste and Eshr Aghian, Principles of CMOS VLSI Design, A systems perspective,

Addison Wesley, 19852. Mead C A and Canway L A Introduction to VLSI systems, Addison Wesley 1980.3. Baker R J, Li H.W, BoyceDE, CMOS circuit design, Layout and Simulation, Prentice

Hall India, 2000.


TCE 2003 Biomedical Signal Processing 3 – 0 – 0

Genesis and significance of bioelectric potentials, EOG, EMG and their monitoring and measurement, spectral analysis, digital and analog filtering, correlation and estimation techniques, ECG: Pre-processing, wave form recognition, morphological studies and rhythm analysis, automated diagnosis based on decision theory, ECT compression, Evoked potential estimation, EEG evoked responses, average techniques, pattern recognition of alpha, beta, theta and delta waves in EEG waves, sleep stages, epilepsy detection, EMG, wave pattern studies, bio feed back.

Reference:

1. Biomedical Signal Processing - Willis J Tompkins, ED, Prentice – Hall, 1993

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 50% problems & 50% Theory. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper /assignments based on hardware/software simulation in related topics. (Using MATLAB or any available software packages)

TCE 2004 Embedded Systems HARDware 3 - 0 – 0

Introduction to RISC process, MPC 860, Power PC, Architecture and Instruction set, programming model, Exception handling, MMU, Instruction and data cache, memory controller, communication processors module, Serial interface, Serial management controller, Serial communication controller, UART, HDLC, SDMA channels, Ethernet protocol, IDMA emulation, CDM interrupt controller and timer, SPI, 12C and parallel pot, power controller external bus interface, system development and debugging.

Reference1. Cathy May and silha. The power PC Architecture, Morgan Kauffmann 1998.

Reading1. The Programming Environment for 32-Bit Microprocessor Motorola.2. F 0

6 D pc 860 User's Manual, Motorola 3. Computer Architecture a quantitative Approach Hennerry and Patterson.

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 50% problems & 50% Theory. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. (Using any available

software packages)

TCE 2006 Mobile Communication 3-0-0

Radio propagation characteristics: models for path loss, shadowing and multipath fading (delay spread, coherence bandwidth, coherence time, Doppler spread), Jakes' channel model. Digital modulation for mobile radio: analysis under fading channels; diversity techniques and Rake demodulator. Introduction to spread spectrum communication. Multiple access techniques used in mobile wireless communications: FDMA/TDMA, CDMA. The cellular concept: Frequency reuse; the basic theory of hexagonal cell layout; spectrum efficiency. FDM/TDM Cellular systems; channel allocation schemes. Handover analysis. Cellular CDMA; soft capacity. Erlang capacity comparison of FDM/TDM systems and cellular CDMA. Discussion of GSM standards; signaling and call control; mobility management; location tracing. Wireless data networking; packet error modeling on fading channels, performance analysis of link and transport layer protocols over wireless channels; mobile data networking (mobile IP); wireless data in GSM, IS-95, and GPRS.

Reference1. W.Jakes, Microwave Mobile Communication, IEEE Press. 2. J.G. Proakis, Digital Communications, McGraw Hill, 1995. 3. G.L.Stuber, Principles of Mobile Communication, Kluwer Academic, 1996. 4. T.S. Rappaport, Wireless Communications: Principles and Practice, Prentice-Hall, 1996

5. A. Viterbi, CDMA: Principles of Spread Spectrum Communications, AddisonWesley, 1995.


CTI 2001

OPERATIONS RESEARCH AND COMPUTER APPLICATIONS

1. Linear Programming : Formulation; Basic Properties, Simplex Algorithm, Artificial Variables, Charnes M Method, two phase Technique Transportation Problem, Assignment Problem. ( 1 ½ questions to be set.)

2. Duality : Dual Problem; Solution of Primal through Dual, Dual Simplex method, Bounded variable technique, Sensitivity Analysis – Economic interpretation, (1 ½ questions to be set.)

3. Dynamic Programming : Charateristics, state, stage, shortest path route, forward and backward solution. 1 question to be set.)

4. Queueing Theory : Queueing systems; Characteristics; Performance Measures; M/M/1, M/M/C, M/M/C/N models, Markov Process; Markov Chain and their computational properties, Markovian decision models. (2 questions to be set.)

5. Inventory Management : Inventory Control; Selective control techniques, ABC analysis, Usage Rate, Criticality, Techniques of Inventory Control with known demand, EOQ with uniform demand; with finite rate of replenishment with shortage, Limitations. (2 questions to be set.)

6. Computer Applications : Computer Applications in Traffic Engg: Practical Study of Traffic and Transportation Engg. Software available in the college (Only for Sessional Work)

Note : Eight questions to be set; out of which candidate has to answer five questions.

References : 1. Frederick, Hiller and Liebermann, Introduction to Operations Research, Holden

Day, Calif, USA.2. Paul J Ossenbruggen, Systems Analysis for Civil Engineers, John Wiley.3. Ravindran & Phillips, Operations research, John Wiley.

EPI 2002

NEW AND RENEWABLE SOURCES OF ENERGY

Course Objective : This subject provides sufficient knowledge about the promising new and renewable sources of energy so as to equip students capable of working with projects related to it and to take up research work in connected areas.

Syllabus Direct solar energy The sun as a perennial source of energy; flow of energy in the universe and the cycle of matter in the human ecosystem; direct soloar energy utilization; solar thermal applications – water heating systems, space heating and cooling of buildings, solar cooking, solar ponds, solar green houses, solar thermal electric systems; solar photovoltaic power generation; solar production of hydrogen.

Energy from oceans Wave energy generation – potential and kinetic energy from waves; wave energy conversion devices; advantages and disadvantages of wave energy. Tidal Energy – basic principles; tidal power generation systems; estimation of energy and power; advantages and limitations of tidal power generation. Ocean thermal energy conversion (OTEC); methods of ocean thermal electric power generation. Other renewable forms of energyWind energy – basic principles of wind energy conversion; design of windmills; wind data and energy estimation; site selection considerations. Classification of small hydro power (SHP) stations; description of basic civil works design considerations; turbines and generators for SHP; advantages and limitations. Biomass and bio-fuels; energy plantation; biogas generation; types of biogas plants; applications of biogas; energy from wastes. Geothermal energyOrigin and nature of geothermal energy; classification of geothermal resources; schematic of geothermal power plants; operational and environmental problems. New energy sources (Only brief treatment expected)Fuel cell; hydrogen energy; alcohol energy; nuclear fusion; cold fusion; power from satellite stations.

References:1. ‘Renewable energy resources’ John W Twidell and Antony D Weir, English

Language Book Society (ELBS), 19962. “Renewable energy – power for sustainable future’ Edited by Godfrey Boyle,

Oxford University Press in association with the Open University, 19963. “Renewable energy sources and their environmental impact’ S A Abbasi and

Naseema Abbasi, Prentice Hall of India, 2001

4. ‘Non-conventional sources of energy’, G D Rai, Khanna Publishers, 20005. ‘solar energy utilization’, G D Rai, Khanna Publishers, 20006. “Renewable and novel energy sources’, S L sah, M I Publications, 19957. “Energy Technology”, S Rao and B B Parulekar, Khanna Publishers, 1999

Pre-requisite : General background of any Engineering Degree will be sufficient to learn this subject.

MDI 2001

APPLIED FINITE ELEMENT METHODS

Basic concepts. Engineering Application of finite element method. Steps involved in finite element method, Disretisation of domain-Types of elements and shapes. Shape functions. Element matrices and vectors. Incorporation of boundary conditions. Derivation and solution of finite element (system) equations.

Application to structural and solid mechanics. Static analysis. Analysis of trusses and frames. Beam element analysis of plates and axisymmetric problems. Developing and implementing of computer programs for the solution. Introduction to dynamic analysis. Free vibration analysis.

Application to field problems – steady and transient heat conduction subjected to different boundary conditions, potential flow, seepage, electric and magnetic fields, simple fluid problems, Torsion of sections. Developing and Implementation of simple problems.

Introduction to general FEM packages. Automatic mesh generation, pre and post processing.

Reference:1. Applied Finite Element Analysis – Larry J Segarlind2. Introduction to finite elements in engineering – Tirupathi R Chandrupatla & Ashok

D Belegundu3. The Finite Element method in engineering - S S Rao4. Basics of the finite element method – Solid mechanics, Heat transfer and fluid

Mechanics – Dubuque I A & W C Brown5. Finite Elements in Electrical and Magnetic Field Problems – Chari M V K & P P

Silvester6. Elementary Finite Element Method – Desai C S7. The Finite Element Method – Zienkiewicz O C8. An Introduction to the finite element method – Reddy J N

MDI 2002

MANAGEMENT INFORMATION SYSTEMS

Relevance, definitions – management – Information – systems concept. Types of information systems – TPS, MIS, DSS, ESS and OAS, Elements of MIS Hardware, software, Database. Procedure and people, processing functions. Organization of MISSystems analysis and design – assessment of information requirements – Information gathering techniques. Tools used for systems analysis and design. Introductory investigation, Detailed investigation, system design, implementation, follow-up. Life cycle approach, SDLC, SSDC. Decision theory-Pay off Matrix, Decision rules, decision tree. Decision support systems. AI and expert systems. Executive support systems. Office automation systems. Data ware housing. Work-study in office work (Organization & methods)Case studies, Computer packages used in MIS

Reference:1. Information systems for modern management – Mudick, Ross and Claggert, PHI2. Management Information systems – Gordon Davis and Olson, McGraw Hill3. Systems analysis and Design – Robert J Theiranf, CBS Publishers4. Analysis and Design of Information Systems – James A Senn, McGraw Hill5. System Analysis and Design – Alias M Awad – Galgotia Publishers 6. MIS : Solving Business problems – post and Anderson, TMH7. Elements of System Analysis – Marwin Gore and John Stubbe8. Decision Support and Dataware house systems – Efren G Mallah

MDI 2004

ACOUSTICS AND NOISE CONTROL

Introduction plane waves – harmonic solution-velocity of sound in invoid fluids – relationship between wave length particle velocity, acceleration – Energy density – acoustic intensity – reference standards and measurement – Transmission through one, two and three media. Transmission through pipes-branched and unbranches-resonators-Transmission loss reflection at palce surface-standing waves and standing wave apparatus, spherical waves – radiation-simple source-hemipherical source-radiating piston-pressure intensity distribution-Beam width and directivity index.

Noise measurement : Decibel scale-relationship between pressure, intensity and power sound level meter, noise analyzer and graphic level recorder-measurement in anechoic and reverberation chambers.

Environmental noise control : Human reaction to sound-definitions of speech interference level, perceived noise level, phon and sone etc., hearing loss-principles of noise control – control at source, during transmission and at receiver – protection of receiver – Acoustic installation-acoustic materials – acoustic filter and muffiers – plenum chamber – noise criteria and standards – noise and number index guide lines for designing quieter equipments – machinery noise such as pumps, rotating machines, reciprocating machines etc. Methods of control of noise using baffles, coverings, perforations etc. Transmission through structures – control vibration by damping and other methods.Principles of noise control in an auditorium – requirements of a good auditorium.

Reference:1. Kinsler and frey – Fundamentals of Acoustics 2. Berenek L L – Noise and Vibration Control3. Harris C K – Handbook of Noise Control4. Petrusowicz and Longmore - Noise and Vibration Control for Industrialists5. Thumann and Miller – Secrts of Noise Control6. Graf – Industrial Noise and Vibration

MII 2002

ADVANCED OPERATIONS RESEARCH

Non-linear programming : Classical optimization methods, properties of functions. Univariate and multivariate search techniques, Kuhn Tucker conditions, quadratic and separable programming methods.Dynamic programming : principle of optimality, concepts of state and stage, solution of discrete problems through backward dynamic programming, continuous and multistage dynamic programming problems. Queuing Theory : definitions and classification, Birth and death process Markovian and Semi-Markovian single and multiple server queues, queuing networks. Discrete-Event simulation : time flow mechanisms, random numbers and random deviate generation, simulation of queuing and inventory systems, validation of simulation models, sampling of simulation outputs, and statistical interferences, variance reduction techniques.

Reference:1. Fundaments of Queuing Theory – Gross and Harris – John Willey & Sons2. Optimization Concepts and Applications in Engineering – A D Belegundu

MII 2003

STATISTICAL QUALITY CONTROL

Basic concepts in quality control and quality assurance, statistical process control, systematic approach, process variability. SQC, process control of variables and attributes. Quality costs. Concepts of acceptance sampling, economics of inspections, OC curve, sampling plans, minimum inspection per lot, formulation of inspection lots and selection of samples. Designing for quality, reliability concepts, elements of typical reliability programme, product and system reliability measurements, prediction evaluation and optimization, fault tree analysis, maintainability. Concepts and principles in Total Quality Management. ISO 9000 series and its features.

Reference:1. Fundamentals of Quality Control and Improvement – Amitava Mithra – Pearson

Education 2. Statistical Quality Control – E L Grant – McGraw Hill3. Quality Control Handbook – Tata McGraw Hill4. Industrial Engineering Handbook – Maynard

TAI 2001 Mechatronics 3 - 0 - 0

Mechatronics System Design - What is Mechatronics?, Integrated Design Issues in Mechatronics, Mechatronics Key Elements, The Mechatronics Design Process, Advanced Approaches in Mechatronics. Modelling and Simulation of Physical Systems - Simulation and Block Diagrams, Analogies and Impedance Diagrams, Electrical Systems, Mechanical Translational Systems, Mechanical Rotational Systems, Electromechanical Coupling, Fluid Systems. Sensors & Transducers - Sensors for Condition Monitoring, Mechatronic Control in Automated Manufacturing, Artificial Intelligence in Mechatronics, Fuzzy Logic Applications in Mechatronics, Microsensors in Mechatronics. Introduction to Modern CNC Machines - Advantages of CNC Machines, CNC Machining Centre Developments, Turning Centre Developments, Tool Monitoring on CNC Machines, Other CNC Developments, Advanced Manufacturing Systems, Benefits of an FMS, Trends in Adoption of FMSs. Configuration of the CNC System, Interfacing, Monitoring, Diagnostics, Machine Data, Compensations for Machine Accuracies, PLC Programming, Direct Numerical Control (DNC).

Reference

1. Devdas Shetty & Richard A Kolk - Mechatronics System Design – PWS Publishing Company 2. Mechatronics – HMT Ltd., TMH


TAI 2002 Computer Graphics & IMAGE PROCESSING 3 –0-0

Interactive Computer Graphics, Basic raster graphics algorithm, geometrical transformation, viewing in 3D, Object Hierachy, Graphics Hardware, Input devices, Interaction techniques and interaction tasks. User Interface software, Graphics standard: Open GL, Direct / Draw X, Fundamentals of image processing, enhancement segmentation, compression of images. Realistic Image synthesis, curves and surfaces, colour, illumination and shading, hidden surface elimination, volume graphics, rendering and animation.

Pre requisites :Strong Programming skills in C and Data structure.

Reference :

1. Computer Graphics Principles and Practice : Foley. JD, Van Dam A etc. Addison Wesley.

2. Computer Graphics : Hearn D, Baker P, Prentice Hall India.


TCI 2001 Computer networkING 3-0-0

General Issues in the transport of data traffic over networks of digital transmission media, Architectural concepts of ISO's OSI layered model for computer communication. TCP/IP Protocol stack. Datalink Layer: ARQ Schemes and their analysis, Delay models based on queuing theory, Multiple Access. Network Layer: Topology, Routing, Flow Control, Congestion Control. Transport Layer: Issues and standards. Internet Working. Quality of Services. Protocol Engineering: Formal Specification of Protocols, Specification Languages: Estelle, SDL. Validation Techniques. Protocol analysis and synthesis, Conformance Testing.

Reference :

1) Keshav S, Addison Wesley - An engineering Approach to Computer networking2) Larry L Peterson et al, Morg Kaufmann - Computer network: A system Approach3) Bertsekas D and Gallager R - Data networks - Prentice Hall India


TCI 2002 DIGITAL SIGNAL PROCESSING 3 - 0 - 0

Signals & Signal Processing – characterization and classification – operations – examples – Applications. Time domain representation of Signals & Systems – Discrete time signals – operations on sequences – sampling process – Discrete time systems – Time domain characterization and state space representation of LTI discrete time systems – Random signals.

Transform domain representation of signals – DFT – properties – computation - convolution. Z-transform – Inverse Z transform – properties. Transform domain representation of LTI systems – Frequency response. Transfer function and type of transfer functions.

Digital processimg of continuous time signals – sampling – Design of Analog filter and Anti-aliasing filter. Design – S/H, A/D and D/A converters – Design of reconstruction filter.

Digital filter structures – Signal flow graph representation – FIR and IIR filter structures – Realization – Digital Sine –Cosine Generator.

DSP algorithm – Software implementation – Computation of DFT. Applications of DSP – Spectral Analysis of sinusoidal, Non stationary and Random signals.

MATLAB excercises will be given for assignment evaluation.

ReferenceSANJIT K. MITRA - Digital Signal Processing - 2nd Edn., –– TMH

Reading:1. A. V. Oppenhein & Ronald W. Schafer - Discrete Time Signal processing –– PHI, New

Delhi 2. Digital Signal Processing – 4th Edn. – Proakis & Manolakis – PHI, New Delhi. 3. Linear Algebra and its Applications – Gilbert Strang4. Linear Algebra : A Geometric Approach – S Kumaresan, PHI5. Linear Algebra - Hoffman K and Kunze R, PHI6. “Topics in Algebra” – Herstein – Wiley Eastern


TCI 2003 Internet Technologies 3 - 0 – 0

Evolution of Internet, Layered Network Architecture, TCP/IP Protocol suite, IP Addressing, IP subneting, ARP, RARP, ICMP, IP routing, UDP, TCP, SMTP, HTTP, NNTP. Unix system calls, Socket Programming, WEB Servers, Languages for Internet HTML, XML, PERL, PHP, Online Databases, Web Services. Internet Security Issues, Firewalls, Encryption, HTTPs, TLS, SSL, IP Security (IPSEC) Specialised Services : Voice over IP, RTP, RTCP. Future of Internet, IP6, Internet II

Pre requisites: C and Data Structure

Reference:1. TCP/IP Illustrated Vol I The Protocols: W. Richard Stevens2. TCP/IP Illustrated Vol III TCP for Transactions, HTTP, NNTP and the Unix Domain

Protocols : W. Richard Stevens3. IP Sec The new Security Standard for Internet, Intranet, Virtual Private Networks :

Naganand Doraswamy, Dan Harkins4. Current Online Documents


TCI 2004 MULTIMEDIA SYSTEMS 3-0-0

Multimedia Communications Model, Elements of multimedia systems, Packet transfer concepts, Multimedia terminals. Signal Processing elements. Texture, colour and shape based methods. Perceptual coding of digital audio signals. Absolute threshold of hearing. Critical band frequency analysis. Marking. Coding and coders. Water marking. Signal processing for networked multimedia. Multimedia processors. Distributed Multimedia systems (DMS). Features of DMS networking, IP Networking, RSUP. RTP. Different management aspects. Multimedia Operating Systems. Telecooperation Infrastructure and applications. Telemedicine. Communication standards: Different MPEG standards – MPEG 1, MPEG 2, MPEG 4, MPEG 7. H310, H320, H321, H322 H323. IPV6, VolP, JPEG image compression standard, Different coding tools. Error-resilient entropy code rate control techniques. Video compression Protocols for streaming video. Multimedia transport aross ATM, IP, DSL and wireless media networks. MPEG transmission over internet – wireless communication systems for multimedia. Speech and video transmission across GSM. Mobile ATM and IP. Digital Video Broadcasting.

Reference: K.R. Rao, Zoran S. Bojkovic, Dragorad A Milovanovic – Multimedia Communication Systems: Techniques, Standards and Networks- Prentice Hall.


TCI 2005 SATELLITE & CELLULAR COMMUNICATION 3 -0 -0

Introduction to Satellite communication – Kepler’s law – Satellite orbits – Geostationary satellites – Antenna look angles – satellite classification – spacing and frequency allocation – satellite antenna radiation patterns – satellite system parameters – satellite system link models – link equations – link Budget - satellite radio navigation. Introduction to modern wireless communication systems: Second generation cellular networks – Third generation wireless networks – Wireless local loop and LMDS – wireless LANs – Blue tooth and personal area networks. The cellular concept –frequency reuse - Handoff strategies – Interference and system capacity- Improving capacity in cellular systems. Multiple access techniques for wireless communication-FDMA-TDMA and CDMA. Radio wave propagation characteristics –Free space propagation modem – Large scale path loss link budget design using Pathloss models –Out door propagation models – Indoor propagation models – Signal penetration into buildings – Ray tracing and site specific modelling - Small Scale Multipath Propagation - parameters of mobile multipath channels – types of small scale fading . Speech Coding: Introduction – Characteristics of speech signals – Frequency domain coding of speech – vocoder – Linear predictive coders - Wireless systems and standards: global system for mobile - CDMA digital cellular standard (IS-95)

Reference1. Wayne Tomasi –Advanced electronics communication systems –PHI, 4TH Edn. Chap.

18,192. Theodone S. Rappaport-Wireless Communication Principles and Practice –PHI

Reading :1. Dennis Roody & John Coolen, Electronic Communication – 4 edn. 2. Tom Lodgon – Mobile Communication Systems (Theory & Applications) Mc. Graw

Hill.3. William C Y Lee – Mobile Cellular Tele Communications, 2 edn. Mc. Graw Hill.


TSC 3101 INDUSTRIAL INTERACTION WITH SEMINAR 0-0-3

There shall be a minimum of 15 days, maximum of 30 days Industrial / Research organization Interaction by each student during the Second Semester vacation and presented as a Seminar and report during the Third Semester. The report shall be approved by the organization / industry where the student have undergone the training.

Marks:

Evaluation of reports : 75

Seminar Presentation : 25

TSC 3102 THESIS PRELIMINARY 0-0-14

This shall comprise of two seminars and submission of an interim thesis report. This report shall be evaluated by the evaluation committee. The fourth semester Thesis-Final shall be an extension of this work in the same area. The first seminar would highlight the topic, objectives, methodology and expected results. The first seminar shall be conducted in the first half of this semester. The second seminar is presentation of the interim thesis report of the work completed and scope of the work which is to be accomplished in the fourth semester.

Evaluation Committee (Course Co-ordinator, Guide and a subject expert)

First seminar : 100 marks (75 for objectives, methodologies & expected results, 25 for presentation and viva)

Second Seminar : 100 marks (75 for completed work & 25 for presentation and viva)

TSE 3001 SPECTRAL ANALYSIS 3-0-0

Power Spectral Density :- Energy spectral density of deterministic signals, Power spectral density of random signals, Properties of PSD,

PSD Estimation : Non-parametric methods :- Estimation of PSD from finite data, Non-parametric methods : Periodogram properties, bias and variance analysis, Blackman-Tuckey method, Window design considerations, time-bandwidth product and resolution - variance trade-offs in window design, Refined periodogram methods : Bartlet method, Welch method.

Parametric method for rational spectra :- Covariance structure of ARMA process, AR signals, Yule-Walker method, Least square method, Levinson-Durbin Algorithm, MA signals, Modified Yule-Walker method, Two-stage least square method, Burg method for AR parameter estimation.

Parametric method for line spectra :- Models of sinusoidal signals in noise, Non-linear least squares method, Higher order Yule-Walker method, MUSIC and Pisayenko methods, Min-norm method, ESPIRIT method

Filterbank methods :- Filterbank interpertation of periodogram, Slepia base-band filters,refined filterbank method for higher resolution spectral analysis, Capon method, Introduction to higher order spectra.

Reference

1. Introduction to Spectral Analysis, Stoica , R.L. Moses, Prentice Hall

2. Modern Spectral Estimation Theory & Applications, Kay SM, PrenticeHall

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 50% problems & 50% theory. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper /assignments based on hardware/software simulation in related topics. (Using any available software packages)

TSE 3002 DESIGN OF CDMA SYSTEM 3-0-0

Review of CDMA Systems -Ppseudorandom sequences - Gold sequences Walsh functions - Optimum PN Sequences - Kronecker sequences.Rake receiver – Turbo processor aided Rake receiver -synchronization for UMTS. W-CDMA

Modulation and demodulation -Maximum likely hood estimation - Frequency error detection -Carrier phase measurement - Performance of the frequency and phase synchronizers.

CDMA packed radio networks. Dual class CDMA Systems. Access control for wireless muticode CDMA systems. Reservation- code multiple access. MAC protocol for a cellular packet CDMA

Adaptive CDMA networks. Bit rate /space adaptive CDMA network

Multi user CDMA receiver. Optimal receiver. Linear multi user CDMA detectors. Multistage detection in Asynchronous CDMA. Non coherent detector. Multi user detection in frequency non selective Rayleigh fading channel

MMSE multi user networks. Minimum mean square error (MMSE). Linear multi user detection. System model in multi path fading channel. MMSE detector structures. Spatial processing.

Introduction to UMTS.

Reference1.Adaptive WCDMA Theory and Practice – Savo G Glisic – Wiley 2002

Reading

1. CDMA RF System Engineering – Samuel C Young – 1998 – Artech House – INC.2. CDMA Mobile Radio Design – John B Groe – Lawrence E Larson – Artech House

Inc. 2000.

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 25% problems & 75% theory. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper /assignments based on hardware/software simulation in related topics. (Using any available

software packages

TSE 3003 ARRAY Signal Processing 3-0-0

Course Objective

The focus of the course is to enable the students to understand the one to one correspondence of spatial signals with time domain signals and hence equip them to apply the time domain signal processing techniques in spatial domain.

Spatial Signals :- Signals in space and time. Spatial frequency, Direction vs. frequency. Wave fields. Far field and Near field signals.

Sensor Arrays :- Spatial sampling, Nyquist criterion. Sensor arrays. Uniform linear arrays, planar and random arrays. Array transfer (steering) vector. Array steering vector for ULA. Broadband arrays.

Spatial Frequency :- Aliasing in spatial frequency domain. Spatial Frequency Transform, Spatial spectrum. Spatial Domain Filtering. Beam Forming. Spatially white signal.

Direction of Arrival Estimation :- Non parametric methods – Beam forming and Capon methods. Resolution of Beam forming method. Subspace methods – MUSIC, Minimum Norm and ESPRIT techniques. Spatial Smoothing.

Reference

1. Dan E. Dugeon and Don H. Johnson. (1993). Array Signal Processing: Concepts and Techniques. Prentice Hall.

2. Petre Stoica and Randolph L. Moses. (2005, 1997) Spectral Analysis of Signals. Prentice Hall.

3. Bass J, McPheeters C, Finnigan J, Rodriguez E. Array Signal Processing [Connexions Web site]. February 8, 2005. Available at: http://cnx.rice.edu/content/col10255/1.3/

Question paper shall have six questions of 20 marks each covering entire syllabus out of which any five shall be answered. It shall have 50% problems & 50% theory. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper /

assignments based on hardware/software simulation in related topics. (Using any available software packages)

TSE 3004 COMPUTER VISION 3-0-0

Review of probability – mean, standard deviation, estimation of parameters from samples. Statistical decision making – Bayes classification, decision region, classification based on multiple features – nearest neighbor classification techniques.Introduction to neural networks for classification, Hop field network and back propagation. Introduction to Image processing – edge detection, smoothening, line detection enhancement techniques. Image segmentation. Image analysis – perimeter, area counting of objects. Hough transforms and applications. Texture parameters – classification of objects using texture analysis with example. Fundamentals of optical character recognition, skew detection techniques. Three dimensional data from images – geometric camera model and central and parallel projection. Stereo analysis – correspondence establishment. 3D coordinate estimation.

Reference

1. Pattern Recognition and Image Analysis: - Earl Gose, Richard Johnsonbough and steve Jost (PHI).

2. Digital Image Processing and Computer Vision : - Robert T. Schallcott, John Wiley, Inc.

3. Digital Image Processing: - Goanzalez and Woods – Pearson Education.

4. Computer Vision – Three Dimensional Data from images :- Reinhord Klette, Karsten Schluns, Andreas Koschan – Springer.


TSE 3005 Information Hiding & Data Encryption 3-0-0

Inroduction to Complexity theory, Elementary Number theory, Algebaric Structures- Groups, Rings and Finite Fields, Polynomials over Finite Fields (Fq). Classical Cryptography, Stream Ciphers, Public Key Cryptography: based on Knapsack problem, AES. Digital Signature, Zero Knowledge Proofs.Information Hiding: Principle and Objectives of Watermarking and Steganography. Mathematical formulations, Public - Private Key Steganography, Information hiding in noisy data (adaptive and nonadaptive )and written texts. Steganographic techniques: - substitution and bitplane tools - transform domain tools-Spread Spectrum Techniques- Statistical methods- Distortion and Cover Generation methods. Steganalysis: - of images and audio. Watermarking:- techniques, methods, benchmarks for digital watermarking.

Reference

1. Information Hiding Techniques for Steganography and Digital Watermarking; Stefan Katzenbeisser, Fabien A. P. Petitcolas, Artech House Publishers, 2000.Chapter (1 - 7)2. A Course in Number Theory and Cryptography, Neal Koblitz, 2nd Edition, SpringerChapter (1 - 4)

Reading 1. An Introduction to the theory of Numbers, 5th Edition, HS Zuckerman, etc, Jhon Wiley & Sons2. Handbook of Applied Cryptography, AJ Menezes etc al, CRC Press 3. Mathematical Problems and Proofs, Combinatorics, Number theory and Geometry; Branislav Kisacanin


TSE 3006 Architectural Synthesis & Optimization 3-0-0

Overview of Architectural Synthesis and Optimization.Hardware Modeling - Languages –Abstract Models- behavioral optimization. Graphs - combinational optimization - graph optimization algorithms-Boolean functions - representation - satisfiabilty and cover. Architectural synthesis problems – Area and Performance Estimation - optimization strategies - Datapath synthesis- control unit synthesis -synthesis of pipelined circuits. Scheduling Algorithms - without resource constrains - with resource constrains - scheduling pipelined circuits. Resource Sharing and Binding for resouce dominated circuits- for general circuits - cuncurrent binding and scheduling - for non-scheduled sequence graphs – module selection problem - for pipelined circuits. Cell Library Binding - Algorithms for FPGAs technolgy mapping.

Reference1. Giovanni De Micheli, Synthesis and Optimization of Digital Circuits, Mc Graw Hill Chapter (2,3,4,5,6,10)

3. Synthesis and Optimization of DSP Algorithms, George A Constantinides, Peter YK

Cheng, W Luk, Kluwer Academic Pub., 2004

Reading1. Richard F Tinder, Engineering Digital Design, Elsevier Publications


TSE 3007 CURRENT TOPICS IN SIGNAL PROCESSING 3-0-0

The syllabus shall contain current area of research in Signal Processing (45 hrs.) (from published papers). The syllabus shall be approved by the Academic committee of the college before the semester starts.

Question paper shall have six of 20 marks each covering entire syllabus out of which any five shall be answered. For the sessional marks of 50, 25 for a test covering entire syllabus, 25 for the term paper / assignments based on hardware/software simulation in related topics. ( any available software packages)

TCE 3003 3-0-0

Simulation of Communication Systems and Networks

Model of speech and picture signals, Pseudo noise sequences, Non-linear sequences, Analog channel model, Noise and fading, Digital channel model - Gilbert model of bustry channels, HF, Troposcatter and satellite channels, Switched telephone channels, Analog and Digital communication system models, Light wave system models. Univariate and multivariate models, Transformation of random variables, Bounds and approximation, Random process models - Markov AND ARMA Sequences, Sampling rate for simulation, Computer generation and testing of random numbers Quality of an estimator, estimator fo SNR, Probability density functions of analog communication system, BER of digital communication systems, Montre carlo method and Importance sampling method, estimation of power spectral density of a process Queuing models, M/M/I and M/M/I/N queues, Little formula, Burke's theorem, M/G/I queue, Embedded Markov chain analysis of TDM systems, Polling, Random access systems Queues in tandem, store and forward communication networks, capacity allocation, Congestion and flow chart, Routing model, Network layout and Reliability

Reference:

1. M.C.Jeruchim, Philip Balaban and K.Sam Shanmugam, "Simulation of communication systems", Plenum Press, New York,19922. A.M.Law and W.David Kelton, "Simulation Modelling and analysis", Mc Graw Hill Inc.,New York, 19913. J.F.Hayes, "Modelling and Analysis of Computer Communication networks", Plenum Press New York,19844. Jerry Banks and John S.Carson, "Deiscrete-event system Simulation”, Prentice Hall, Inc., New Jersey,1984


TSC 4101 THESIS – FINAL 0-0-29

Towards the end of the semester there shall be a pre submission seminar to assess the quality and quantum of the work by the evaluation committee. This shall consists of a brief presentation of Third semester interim thesis report and the work done during the fourth semester. At least one technical paper is to be prepared for possible publication in journals / conferences. The final evaluation of the thesis shall be an external evaluation. The 12 credits allotted for the Thesis-Final may be proportionally distributed between external and internal evaluation as follows.

Internal evaluation by the guide (200 marks) - 4 credits Internal evaluation by the evaluation committee (200 marks) – 4 credits Final evaluation by the internal and External examiners (200 marks) – 4 credits.

[Evaluation of Thesis (150 marks) + Viva voce (50 marks)]

Evaluation by the guide : 25 marks exclusively for presentation of Technical papers in journals / conferences out of the 200 marks.

Internal Evaluation by the committee (Course Co-ordinator, Guide and a subject expert) :

The committee shall evaluate a pre-submission seminar before two months for final submission to ensure that the aim of the thesis is achieved, evaluate the interim results and recommend to get approval of submission from the department committee (HOD, The

course co-ordinator and a faculty member for each stream), if not give specific directions to achieve the aim or extend the period of thesis. After getting approval from the department committee the final presentation shall be made with the evaluation committee.

Out of 200 marks, 100 marks shall be given by the subject expert and 100 marks by the course co-ordinator in consultation with the guide.

NB: If the Thesis work is done in an Industry a finished product shall be the final result before the presentation.If the thesis work is done in a research/ Institution at least one Technical paper shall be presented in Journals / conferences in national / International level.