2K6 EC 805 (A): ADVANCED DIGITAL SIGNAL PROCESSING

Introduction to Multi-rate Digital Signal Processing – Sample rate reduction – decimation by integer factors- sampling rate increase – interpolation by integer facto – Design of practical sampling rate converters: Filter Specification- filter requirement for individual stages – Determining the number of stages and decimation factors – Sampling rate conversion using poly-phase filter structure – poly-phase implementation of interpolators.
Module II(13 HOURS)
Adaptive Signal Processing – Adaptive filters – Concepts- Adaptive filter as a Noise Canceller – Other configurations of the adaptive filter – Main components of the adaptive filter – Basic Wiener filter theory – The basic LMS adaptive algorithm – Practical limitations of the basic LMS algorithm – Recursive Least Square Algorithm – Limitations – Factorization Algorithm.
Module III (13 HOURS)
Introduction to two dimensional signal and systems – 2D – DFT Transforms – Properties and applications – Discrete Hilbert Transform and Discrete Cosine Transform – Properties and Applications – Short term Fourier Transform – Gabor Transform – Properties and Applications.
Module IV (13 HOURS)
Wavelets – Wavelet Analysis – The Continuous Wavelet Transform – scaling – shifting – scale and frequency – The Discrete Wavelet Transform – One Stage filtering – Approximation and Details – Filter bank analysis – Multilevel Decomposition – Number of levels – Wavelet reconstruction – Reconstruction filter- Reconstructing Approximations and details- Multilevel Reconstruction – Wavelet packet synthesis- Typical Applications.

Text books:
1. Digital Signal Processing: Emmanuel C Ifeachor, Barrie W Jrevis, Pearson Education.
2. Theory and Applications of DSP: L.R Rabiner and B gold
3. Electronic filter Design Hand Book: A .B Williams and FT Taylor, McGraw
References
1.Wavelets and Subband Coding: Valterli & Kovaceric, PHI.