CEC Faculty Books and Book Chapters

Canonical Correlation Analysis of the Deterministic Realization Problem

Title

Canonical Correlation Analysis of the Deterministic Realization Problem

Files

Document Type

Book Chapter

Book Title

SVD and Signal Processing, III: Algorithms, Architectures and Applications

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.

ISBN

978-0444540843

Publication Date

1995

Publisher

Elsevier

City

Amsterdam, Netherlands

Keywords

Signal processing, decomposition (Mathematics)

Disciplines

Computer Sciences

Canonical Correlation Analysis of the Deterministic Realization Problem
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