Digital Signal Processing

Front Cover
Technical Publications, Jun 1, 2006 - 544 pages
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Characterization and classification of signals - examples of signals - multichannel -multi-dimensional - continuous versus discrete - analog versus digital - concept of frequency. Concepts of signal processing - typical applications - advantages of digital signal processing compared with analog processing.Discrete Time SystemsRepresentations-classifications - time domain and frequency domain characterization - transfer functions - Z-transform and applications.Frequency Analysis Of SignalsAnalysis of analog and discrete signals-using Fourier series, Fourier transform, Fourier transform of discrete sequence and discrete Fourier transform-properties of transforms-computation of discrete Fourier transforms-Radix 2. FFT algorithms.Digital Processing Of Continuous SignalsSampling of continuous signals-analog filter design-anti aliasing filters-sample and hold circuit-reconstructing filters-analog to digital and digital to analog converters.Digital Filters Block diagram representation -IIR and FIR structures-Impulse invariance and bilinear transform methods of IIR filter design.
 

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Contents

systems impulse response representation ztransform representation etc
1
Chapter2 Discrete Time Systems
38
Chapter3 Frequency Analysis of Signals
174
chapter Large number of solved examples are given Some useful appendix
198
vi
301
Theory Questions
319
Chapter 3 Frequency Analysis of Signals 174 to
321
Chapter 4 Digital Processing of Continuous Signals 322 to
394
Chapter5 Digital Filters
395
viii
476
Chapter 5 Digital Filters 395 to
529
ix
530
AppendixA Important Mathematical Relations 530 to
535
AppendixB ztransform and DFT Properties
536
Useful Formulae
543
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