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 JenkinsOrdinary Linear Differential and Difference Equations; B.P. Lathi Finite Wordlength Effects; Bruce W. Bomar SIGNAL REPRESENTATION AND QUANTIZATION; Jelena Kovacevic and Christine Podilchuk On Multidimensional Sampling; Ton KalkerAnalog-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 VetterliFast Convolution and Filtering; Ivan W. Selesnick and C. Sidney BurrusComplexity Theory of Transforms in Signal Processing; Ephraim FeigFast Matrix Computations; Andrew E. Yagle DIGITAL FILTERING; Lina J. Karam and James H. McClellanDigital Filtering; Lina J. Karam, James H. McClellan, Ivan W. Selesnick, and C. Sidney Burrus STATISTICAL SIGNAL PROCESSING; Georgios B. GiannakisOverview of Statistical Signal Processing; Charles W. TherrienSignal Detection and Classification; Alfred HeroSpectrum Estimation and Modeling; Petar M. Djuric and Steven M. Kay Estimation Theory and Algorithms: From Gauss to Wiener to Kalman; Jerry M. MendelValidation, Testing, and Noise Modeling; Jitendra K. TugnaitCyclostationary Signal Analysis; Georgios B. Giannakis ADAPTIVE FILTERING; Scott C. DouglasIntroduction to Adaptive Filters; Scott C. DouglasConvergence Issues in the LMS Adaptive Filter; Scott C. Douglas and Markus RuppRobustness Issues in Adaptive Filtering; Ali H. Sayed and Markus RuppRecursive Least-Squares Adaptive Filters; Ali H. Sayed and Thomas KailathTransform Domain Adaptive Filtering; W. Kenneth Jenkins, C. Radhakrishnan, and Daniel F. MarshallAdaptive IIR Filters; Geoffrey A. WilliamsonAdaptive Filters for Blind Equalization; Zhi Ding INVERSE PROBLEMS AND SIGNAL RECONSTRUCTION; Richard J. MammoneSignal Recovery from Partial Information; Christine PodilchukAlgorithms for Computed Tomography; Gabor T. HermanRobust Speech Processing as an Inverse Problem; Richard J. Mammone and Xiaoyu ZhangInverse Problems, Statistical Mechanics, and Simulated Annealing; K. Venkatesh PrasadImage Recovery Using the EM Algorithm; Jun Zhang and Aggelos K. KatsaggelosInverse Problems in Array Processing; Kevin R. FarrellChannel Equalization as a Regularized Inverse Problem; John F. DohertyInverse Problems in Microphone Arrays; A.C. SurendranSynthetic Aperture Radar Algorithms; Clay Stewart and Vic LarsonIterative Image Restoration Algorithms; Aggelos K. Katsaggelos TIME-FREQUENCY AND MULTIRATE SIGNAL PROCESSING; Cormac Herley and Kambiz NayebiWavelets and Filter Banks; Cormac HerleyFilter Bank Design; Joseph Arrowood, Tami Randolph, and Mark J.T. SmithTime-Varying Analysis-Synthesis Filter Banks; Iraj SodagarLapped Transforms; Ricardo L. de Queiroz INDEX
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.
Reviews for Digital Signal Processing Fundamentals
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