Digital Signal Processing Fundamentals

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A.C. Surendran
A01=Vijay K. Madisetti
A01=Vijay Madisetti
Adaptive filtering
Adaptive Filters
Adaptive IIR Filter
advanced digital signal processing methods
Aggelos K. Katsaggelos
Alfred Hero
Ali H. Sayed
Andrew E. Yagle
Author_Vijay K. Madisetti
Author_Vijay Madisetti
Autocorrelation Matrix
B.P. Lathi
Bruce W. Bomar
C. Radhakrishnan
C. Sidney Burrus
Category=UYS
Charles W. Therrien
Christine Podilchuk
Clay Stewart
Cormac Herley
Cyclic Convolution
Cyclostationary Signals
Daniel F. Marshall
DFT.
Digital filtering
Discrete Time Fourier Transform
Douglas B. Williams
Ephraim Feig
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eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Filter Banks
Fir Filter
Fixed Point Arithmetic
Gabor T. Herman
Geoffrey A. Williamson
Georgios B. Giannakis
Image Restoration
Input Signal
Inverse Problem
Inverse problems and signal reconstruction
Iraj Sodagar
Ivan W. Selesnick
James H. McClellan
Jelena Kovavic
Jerry M. Mendel
Jitendra K. Tugnait
John F. Doherty
Joseph Arrowood
Jun Zhang
K. Venkatesh Prasad
Kambiz Nayebi
Kevin R. Farrell
Lina J. Karam
Linear Convolution
LMS Adaptive Filter
Mark J.T. Smith
Markus Rupp
Martin Vetterli
multimedia signal analysis
Petar M. Djuric
Peter Xiao
Pierre Duhamel
quantization techniques
radar system processing
Ravi P. Ramachandran
Ricardo L. de Queiroz
Richard J. Mammone
RLS
RLS Algorithm
Roundoff Noise
SAR Image
SAR Image Formation
SAR Imagery
Scott C. Douglas
Sidelobe Canceler
Signal and representation and quantization
Signals and systems
speech audio protocols
Statistical Signal Processing
Stephen Kosonocky
Steven M. Kay
Synthesis Filters
Tami Randolph
Thomas Kailath
time-frequency analysis
tomography applications
Ton Kalker
Vic Larson
Vijay K. Madisetti
W. Kenneth Jenkins
Wiener Filter
Xiaoyu Zhang
Zhi Ding

Product details

  • ISBN 9781420046069
  • Weight: 1746g
  • Dimensions: 178 x 254mm
  • Publication Date: 20 Nov 2009
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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.

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