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Overview

The key features of this course includes the following topics• An in-depth understanding of sampling, reconstruction, sampling rate conversion using multirate building blocks • Applications of multirate DSP – Filter design, Filterbanks, Transmultiplexer, Delta-Sigma A/D • Mathematical framework for Perfect Reconstruction Filter banks• Achieving capacity in wireless channels, motivation for Multicarrier modulation, Redundancy via zero padding and cyclic prefix • Mathematical framework for OFDM and its extensions • Introduction to Wavelets and Multichannel filter banks• Matlab-based computer exercises to gain understanding of multirate DSP concepts and applications.
INTENDED AUDIENCE : • B.E. / B.Tech/ M.E./ M.Tech/ Ph.D. students who have completed basic course in Digital Signal Processing • Students planning to do projects / research in DSP • Industry practitioners working with DSP, audio and video productsPRE-REQUISITES : Basic course in Digital Signal ProcessinglINDUSTRY SUPPORT : Texas Instruments, Qualcomm, Broadcomm, Jasmine Infotech, Samsung, Sasken, Intel, Motorola, Ittiam,
Redpine… Companies developing products based on DSP (audio, speech processing, image processing,
biomedical and other areas)

Syllabus

COURSE LAYOUT

Week 1 : Introduction• Overview of Sampling and Reconstruction • Review Discrete-Time Systems, digital filters
Week 2 : Oversampling techniques, DT processing of continuous time signals
Week 3 : Fundamentals of Multi-rate Systems• Basic building blocks – Up sampling, down sampling, aliasing•
Mathematical framework for sampling rate change
Week 4 : Sampling rate change and filtering, fractional sampling rate change
Week 5 : Interconnection of multirate DSP blocks, Multiplexer and Demultiplexer functionality, Polyphase decomposition,
Noble Identities, efficient implementation of sampling rate conversion
Week 6 : Applications of Multirate DSP - DFT-based Filterbanks, Interpolated FIR filter design, Cascaded-Integrator-Comb
(CIC) filters, Transmultiplexer, Filterbank interpretation of Spectral analysis using DFT
Week 7 : Two channel maximally decimated filter bank, Signal impairments - Aliasing, Magnitude distortion, Phase distortion,
Aliasing cancellation
Week 8 : Allpass filters, properties, application in two channel filterbanks, Half-band filters, Power complementary filter pairs,
Mth band filters, two channel perfection reconstruction filterbanks.
Week 9 : Capacity of wireless channels, Waterfilling method, motivation for Multicarrier modulation
Week 10: Block transceivers with redundancy, Zero-padding, cyclic prefix, OFDM, extensions of OFDM incuding Filterbank Multicarrier (FBMC)
Week 11: Application of Multirate DSP – Delta Sigma A/D conversion
Week 12: Introduction to wavelets and M-channel perfect reconstruction filterbanks.

Taught by

Prof. R. David Koilpillai

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