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SVD and Signal Processing III: Algorithms, Architectures and Applications (Repost)
SVD and Signal Processing III: Algorithms, Architectures and Applications (Repost)
Date: 11 November 2010, 14:05

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Elsevier Publishing Company, "Svd and Signal Processing, III: Algorithms, Architectures and Applications"
Elsevier Publishing Company | 1995-03-01 | ISBN: 0444821074 | 498 pages | PDF | 19,8 MB

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.



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