Fr. 345.00

Digital Signal Processing Fundamentals - Digital Signal Processing Fundamentals

English · Hardback

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Zusatztext 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.comA 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 Informationen zum Autor 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. Klappentext Emphasizing theoretical concepts! this title 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; and! Inverse Problems and Signal Reconstruction. Zusammenfassung Emphasizing theoretical concepts, this title 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; and, Inverse Problems and Signal Reconstruction. Inhaltsverzeichnis 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. ...

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