SVD and signal processing III

• Titel: SVD and signal processing III
• Titelzusatz: algorithms, architectures, and applications
• Mitwirkende: Moonen, Marc S. [MitwirkendeR]
• Mitwirkende: Moor, Bart L. R. de [MitwirkendeR]
• Verf.angabe: edited by Marc Moonen, Bart De Moor
• Verlagsort: Amsterdam ; ; New York
• Verlag: Elsevier
• Jahr: 1995
• Umfang: 1 online resource (xi, 485 pages)
• Illustrationen: illustrations
• Fussnoten: Includes bibliographical references and index. - Print version record
• Schrift/Sprache: English.
• ISBN: 978-0-444-82107-2
• ISBN: 0-444-82107-4
• ISBN: 978-0-08-054215-7
• ISBN: 0-08-054215-8
• ISBN: 1-281-05991-9
• ISBN: 978-1-281-05991-8
• ISBN: 9786611059910
• ISBN: 6611059911
• Datenträger: Online-Ressource
• Sprache: eng
• Bibliogr. Hinweis: Erscheint auch als : Druck-Ausgabe
• Sach-SW: Traitement du signal ; Techniques numériques ; Congrès
• Sach-SW: Décomposition (Mathématiques) ; Congrès
• Sach-SW: COMPUTERS ; Information Theory
• Sach-SW: TECHNOLOGY & ENGINEERING ; Signals & Signal Processing
• Sach-SW: Decomposition (Mathematics)
• Sach-SW: Signal processing ; Digital techniques
• Sach-SW: Signalverarbeitung
• Sach-SW: Kongress
• Sach-SW: Signals ; Processing
• Sach-SW: Conference papers and proceedings
• Sach-SW: Conference papers and proceedings
• Sach-SW: Actes de congrès
• Sach-SW: Löwen (1994)
• K10plus-PPN: 185416886X
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m436217270X
• Lokale URL Inst.: Zum Volltext

Abstract

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.