1st Edition

Digital Signal Processing Fundamentals

By Vijay Madisetti Copyright 2010
    904 Pages 249 B/W Illustrations
    by CRC Press

    904 Pages 249 B/W Illustrations
    by CRC Press

    Continue Shopping

    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.

    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 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

    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

    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

    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



    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.

    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