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...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; New York :
Elsevier
1995.
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009755115606719 |
| Sumario: | 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 on |
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| Notas: | Papers based on contributions presented at the 3rd International Workshop on SVD and Signal Processing, held in Leuven, August 22-25, 1994. |
| Descripción Física: | 1 online resource (499 p.) |
| Bibliografía: | Includes bibliographical references and index. |
| ISBN: | 9781281059918 9786611059910 9780080542157 |
