Linear Algebra for Signal Processing (Hardcover, 1995 ed.)

Signal processing applications have burgeoned in the past decade. During the same time, signal processing techniques have matured rapidly and now include tools from many areas of mathematics, computer science, physics, and engineering. This trend will continue as many new signal processing applications are opening up in consumer products and communications systems.
In particular, signal processing has been making increasingly sophisticated use of linear algebra on both theoretical and algorithmic fronts. This volume gives particular emphasis to exposing broader contexts of the signal processing problems so that the impact of algorithms and hardware can be better understood; it brings together the writings of signal processing engineers, computer engineers, and applied linear algebraists in an exchange of problems, theories, and techniques. This volume will be of interest to both applied mathematicians and engineers.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	The IMA Volumes in Mathematics and its Applications, 69
Release date:	2001
First published:	1995
Editors:	Adam Bojanczyk • George Cybenko
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	184
Edition:	1995 ed.
ISBN-13:	978-0-387-94491-3
Categories:	Books > Computing & IT > General theory of computing > Mathematical theory of computation Books > Computing & IT > Applications of computing > Signal processing Books > Science & Mathematics > Mathematics > Algebra > General Books > Computing & IT > Applications of computing > Image processing > General
LSN:	0-387-94491-5
Barcode:	9780387944913

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