Digital Signal Processing Fundamentals: 1st Edition (Paperback) book cover

Digital Signal Processing Fundamentals

1st Edition

By Vijay Madisetti

CRC Press

904 pages | 249 B/W Illus.

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Paperback: 9781138113749
pub: 2017-06-07
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Hardback: 9781420046069
pub: 2009-11-20
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Description

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.

Emphasizing theoretical concepts, Digital Signal Processing Fundamentals provides comprehensive coverage of the basic foundations of DSP and includes the following parts: Signals and Systems; Signal Representation and Quantization; Fourier Transforms; Digital Filtering; Statistical Signal Processing; Adaptive Filtering; Inverse Problems and Signal Reconstruction; and Time–Frequency and Multirate Signal Processing.

Reviews

Praise for the previous edition:

An excellent compendium of theoretical topics in DSTP … a one-stop shop of technical information on digital signal processing. … This book has saved me days in independent research.

—Howard Rubin, on Amazon.com

A useful handbook for the professional as well as for graduate students and faculty.

—E. A. Hoyer, Wichita State University, in CHOICE, Vol. 36, No. 1

Table of Contents

SIGNALS AND SYSTEMS; Vijay K. Madisetti and Douglas B. Williams

Fourier Methods for Signal Analysis and Processing; W. Kenneth Jenkins

Ordinary Linear Differential and Difference Equations; B.P. Lathi

Finite Wordlength Effects; Bruce W. Bomar

SIGNAL REPRESENTATION AND QUANTIZATION; Jelena Kovaĉević and Christine Podilchuk

On Multidimensional Sampling; Ton Kalker

Analog-to-Digital Conversion Architectures; Stephen Kosonocky and Peter Xiao

Quantization of Discrete Time Signals; Ravi P. Ramachandran

FAST ALGORITHMS AND STRUCTURES; Pierre Duhamel

Fast Fourier Transforms: A Tutorial Review and State of the Art; Pierre Duhamel and Martin Vetterli

Fast Convolution and Filtering; Ivan W. Selesnick and C. Sidney Burrus

Complexity Theory of Transforms in Signal Processing; Ephraim Feig

Fast Matrix Computations; Andrew E. Yagle

DIGITAL FILTERING; Lina J. Karam and James H. McClellan

Digital Filtering; Lina J. Karam, James H. McClellan, Ivan W. Selesnick, and C. Sidney Burrus

STATISTICAL SIGNAL PROCESSING; Georgios B. Giannakis

Overview of Statistical Signal Processing; Charles W. Therrien

Signal Detection and Classification; Alfred Hero

Spectrum Estimation and Modeling; Petar M. Djurić and Steven M. Kay

Estimation Theory and Algorithms: From Gauss to Wiener to Kalman; Jerry M. Mendel

Validation, Testing, and Noise Modeling; Jitendra K. Tugnait

Cyclostationary Signal Analysis; Georgios B. Giannakis

ADAPTIVE FILTERING; Scott C. Douglas

Introduction to Adaptive Filters; Scott C. Douglas

Convergence Issues in the LMS Adaptive Filter; Scott C. Douglas and Markus Rupp

Robustness Issues in Adaptive Filtering; Ali H. Sayed and Markus Rupp

Recursive Least-Squares Adaptive Filters; Ali H. Sayed and Thomas Kailath

Transform Domain Adaptive Filtering; W. Kenneth Jenkins, C. Radhakrishnan, and Daniel F. Marshall

Adaptive IIR Filters; Geoffrey A. Williamson

Adaptive Filters for Blind Equalization; Zhi Ding

INVERSE PROBLEMS AND SIGNAL RECONSTRUCTION; Richard J. Mammone

Signal Recovery from Partial Information; Christine Podilchuk

Algorithms for Computed Tomography; Gabor T. Herman

Robust Speech Processing as an Inverse Problem; Richard J. Mammone and Xiaoyu Zhang

Inverse Problems, Statistical Mechanics, and Simulated Annealing; K. Venkatesh Prasad

Image Recovery Using the EM Algorithm; Jun Zhang and Aggelos K. Katsaggelos

Inverse Problems in Array Processing; Kevin R. Farrell

Channel Equalization as a Regularized Inverse Problem; John F. Doherty

Inverse Problems in Microphone Arrays; A.C. Surendran

Synthetic Aperture Radar Algorithms; Clay Stewart and Vic Larson

Iterative Image Restoration Algorithms; Aggelos K. Katsaggelos

TIME–FREQUENCY AND MULTIRATE SIGNAL PROCESSING; Cormac Herley and Kambiz Nayebi

Wavelets and Filter Banks; Cormac Herley

Filter Bank Design; Joseph Arrowood, Tami Randolph, and Mark J.T. Smith

Time-Varying Analysis-Synthesis Filter Banks; Iraj Sodagar

Lapped Transforms; Ricardo L. de Queiroz

INDEX

About the Author

Vijay K. Madisetti is a professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology in Atlanta. He teaches graduate and undergraduate courses in digital signal processing and computer engineering, and leads a strong research program in digital signal processing, telecommunications, and computer engineering. Dr. Madisetti received his BTech (Hons) in electronics and electrical communications engineering in 1984 from the Indian Institute of Technology, Kharagpur, India, and his PhD in electrical engineering and computer sciences in 1989 from the University of California at Berkeley. He has authored or edited several books in the areas of digital signal processing, computer engineering, and software systems, and has served extensively as a consultant to industry and the government. He is a fellow of the IEEE and received the 2006 Frederick Emmons Terman Medal from the American Society of Engineering Education for his contributions to electrical engineering.

About the Series

The Digital Signal Processing Handbook, Second Edition

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Subject Categories

BISAC Subject Codes/Headings:
COM059000
COMPUTERS / Computer Engineering
TEC007000
TECHNOLOGY & ENGINEERING / Electrical