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Digital Signal Processing Fundamentals (2nd Ed.) Digital Signal Processing Fundamentals The Digital Signal Processing Handbook, Second Edition Series

Langue : Anglais

Auteur :

Couverture de l’ouvrage Digital Signal Processing Fundamentals

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. Signal Representation and Quantization. Fast Algorithms and Structures. Digital Filtering. Statistical Signal Processing. Adaptive Filtering. Inverse Problems and Signal Reconstruction. Time–Frequency and Multirate Signal Processing. Index.

Professional

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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Thèmes de Digital Signal Processing Fundamentals :

Mots-clés :

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