Digital Signal Processing Fundamentals

by Madisetti; Vijay K.

• ISBN13: 9781420046069
• ISBN10: 1420046063
• Edition: 1st
• Format: Hardcover
• Copyright: 2009-11-20
• Publisher: CRC Press

Summary

Now available in a three-volume set, this updated and expanded edition of the bestselling The Digital Signal Processing Handbook continues to provide the engineering community with authoritative coverage of the fundamental and specialized aspects of information-bearing signals in digital form. Encompassing essential background material, technical details, standards, and software, the second edition reflects cutting-edge information on signal processing algorithms and protocols related to speech, audio, multimedia, and video processing technology associated with standards ranging from WiMax to MP3 audio, low-power/high-performance DSPs, color image processing, and chips on video. Drawing on the experience of leading engineers, researchers, and scholars, the three-volume set contains 29 new chapters that address multimedia and Internet technologies, tomography, radar systems, architecture, standards, and future applications in speech, acoustics, video, radar, and telecommunications.

Table of Contents

Preface	p. ix
Editor	p. xi
Contributors	p. xiii
Signals and Systems
Fourier Methods for Signal Analysis and Processing	p. 1
Ordinary Linear Differential and Difference Equations	p. 2
Finite Wordlength Effects	p. 3
Signal Representation and Quantization
On Multidimensional Sampling	p. 4
Analog-to-Digital Conversion Architectures	p. 5
Quantization of Discrete Time Signals	p. 6
Fast Algorithms and Structures
Fast Fourier Transforms: A Tutorial Review and State of the Art	p. 7
Fast Convolution and Filtering	p. 8
Complexity Theory of Transforms in Signal Processing	p. 9
Fast Matrix Computations	p. 10
Digital Filtering
Digital Filtering	p. 11
Statistical Signal Processing
Overview of Statistical Signal Processing	p. 12
Signal Detection and Classification	p. 13
Spectrum Estimation and Modeling	p. 14
Estimation Theory and Algorithms: From Gauss to Wiener to Kalman	p. 15
Validation, Testing, and Noise Modeling	p. 16
Cyclostationary Signal Analysis	p. 17
Adaptive Filtering
Introduction to Adaptive Filters	p. 18
Convergence Issues in the LMS Adaptive Filter	p. 19
Robustness Issues in Adaptive Filtering	p. 20
Recursive Least-Squares Adaptive Filters	p. 21
Transform Domain Adaptive Filtering	p. 22
Adaptive IIR Filters	p. 23
Adaptive Filters for Blind Equalization	p. 24
Inverse Problems and Signal Reconstruction
Signal Recovery from Partial Information	p. 25
Algorithms for Computed Tomography	p. 26
Robust Speech Processing as an Inverse Problem	p. 27
Inverse Problems, Statistical Mechanics, and Simulated Annealing	p. 28
Image Recovery Using the EM Algorithm	p. 29
Inverse Problems in Array Processing	p. 30
Channel Equalization as a Regularized Inverse Problem	p. 31
Inverse Problems in Microphone Arrays	p. 32
Synthetic Aperture Radar Algorithms	p. 33
Iterative Image Restoration Algorithms	p. 34
Time-Frequency and Multirate Signal Processing
Wavelets and Filter Banks	p. 35
Filter Bank Design	p. 36
Time-Varying Analysis-Synthesis Filter Banks	p. 37
Lapped Transforms	p. 38
Index	p. 1
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