SVD and Signal Processing, III: Algorithms, Architectures and Applications

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SVD and Signal Processing, III: Algorithms, Architectures and Applications

By Moonen, M.; De Moor, B.

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Matrix Singular Value Decomposition (SVD) and its application to problems in signal processing is explored in this book. The papers discuss algorithms and implementation architectures for computing the SVD, as well as a variety of applications such as systems and signal modeling and detection.

The publication presents a number of keynote papers, highlighting recent developments in the field, namely large scale SVD applications, isospectral matrix flows, Riemannian SVD and consistent signal reconstruction. It also features a translation of a historical paper by Eugenio Beltrami, containing one of the earliest published discussions of the SVD.

With contributions sourced from internationally recognised scientists, the book will be of specific interest to all researchers and students involved in the SVD and signal processing field.

Subject: Trades & Technology -> Technology & Engineering -> Telecommunications

SVD and Signal Processing, III: Algorithms, Architectures and Applications
Publisher: Elsevier S & T 03/1995
Imprint: Elsevier Science
Language: English
Length: 485 pages

ISBN 10: 0444821074
ISBN 13: 9780444821072
Print ISBN: 9780444821072

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