CCE Faculty Books and Book Chapters
Canonical Correlation Analysis of the Deterministic Realization Problem
Book Title
SVD and Signal Processing, III: Algorithms, Architectures and Applications
Document Type
Book Chapter
ISBN
978-0444540843
Publication Date
1995
Keywords
Signal processing, decomposition (Mathematics)
Description
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.
Publisher
Elsevier
City
Amsterdam, Netherlands
Disciplines
Computer Sciences
NSUWorks Citation
Ramos, Jose A. and Verriest, Erik I., "Canonical Correlation Analysis of the Deterministic Realization Problem" (1995). CCE Faculty Books and Book Chapters. 26.
https://nsuworks.nova.edu/gscis_facbooks/26