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Digital Signal Processing Fundamentals de Vijay Madisetti

Digital Signal Processing Fundamentals: The Digital Signal Processing Handbook, Second Edition

Autor Vijay Madisetti
en Limba Engleză Hardback – 20 noi 2009
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.
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Specificații

ISBN-13: 9781420046069
ISBN-10: 1420046063
Pagini: 904
Ilustrații: 249 b/w images, 31 tables and 1842
Dimensiuni: 178 x 254 x 46 mm
Greutate: 1.75 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria The Digital Signal Processing Handbook, Second Edition

Public țintă

Professional

Cuprins

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.

Notă biografică

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.

Recenzii

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

Descriere

Drawing from the knowledge, experience, and insight of leading engineers, researchers, and scholars in the field, Digital Signal Processing Fundamentals is one of three self-contained volumes in the new Digital Signal Processing Handbook, Second Edition. Emphasizing theoretical concepts, this volume 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.