SVD and signal processing III algorithms, architectures, and applications
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 p...
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| Format: | eBook |
| Language: | English |
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Amsterdam
Elsevier
1995
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| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | 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 |
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| Physical Description: | xi, 485 pages illustrations |
| ISBN: | 0080542158 9786611059910 9780080542157 0444821074 9781281059918 9780444821072 1281059919 |