EC 308 COURSE SYLLABUS Advanced Digital Signal Processing

Instructor: Dr. Anil Kumar Assistant Professor Department of Electronic & Communication Engineering PDPM Indian Institute of Information Technology Design and Manufacturing Jabalpur Dumna Airport Road, Jabalpur- 482005, MP, India Phone: +91-9425805412, Fax: +91-761-2632524 E-mail: anilkdee@gmail.com, anilk@iiitdmj.ac.in

Course Description:

Module1: Introduction Classification of systems: Continuous, discrete, linear, causal, stable, dynamic, recursive, time variance; classification of signals: continuous and discrete, energy and power; mathematical representation of signals; spectral density; sampling techniques, Nyquist rate, aliasing effect.

Module2: Discrete time system Analysis Z-transform and its properties, inverse z-transforms; difference equation Solution by z-transform, application to discrete systems - Stability analysis, frequency response convolution Fourier transform of discrete sequence Discrete Fourier series.

Module3: Discrete Fourier Transform and Computation DFT properties, magnitude and phase representation - Computation of DFT using FFT algorithm DIT & DIF FFT using radix 2-Butterfly structure.

Module 4: Realization of Digital Filters FIR & IIR filter realization: Direct form-I, direct form-II, and Parallel & cascade forms.

Module 5: Design of Digital Filters FIR design: Windowing Techniques Need and choice of windows Linear phase characteristics. IIR design: Analog filter design - Butterworth and Chebyshev approximations; digital design using impulse invariant and bilinear transformation - Warping, prewarping - Frequency transformation.

Module 6: Finite word length effects in FIR and IIR digital filters: Quantization, round off errors and overflow errors. Overview of DSP processors

Text Books: 1. John G.Proakis, Dimitris G.Manobakis, Digital Signal Processing, Principles,

Algorithms and Applications, Third edition, (2000) PHI

2. Emmanuel C Ifeachor, Barrie W Jrevis, Digital Signal Processing, Pearson Education.

References: 1. S. K. Mitra, Digital Signal Processing: A Computer Based Approach. Tata

McGraw Hill. McGraw Hill, 2006. 2. P. P. Vaidyanathan. Multirate systems and filter banks. Prentice Hall. PTR. 1993. 3. A. V. Oppenheim and R. W. Sehafer, Discrete Time Signal Processing, Prentice

Hall (1989).

Evaluation Method: Quiz test I: 12.5 % Mid SEM: 25% Quiz test II: 12.5% Final Exam: 50%

Grade Assessment: 95 A+ 100 Outstanding 90 A < 95 80 B+ < 90 70 B < 80 60 C+ < 70 50 C < 60 40 D+ < 50 35 D < 40 0 F < 35 Fail