Linear Algebra for Signal Processing by Adam Bojanczyk, Paperback | Barnes & Noble
Linear Algebra for Signal Processing

Linear Algebra for Signal Processing

by Adam Bojanczyk
     
 

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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.

Overview

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.

Product Details

ISBN-13:
9781461287032
Publisher:
Springer New York
Publication date:
07/31/2012
Series:
IMA Volumes in Mathematics and its Applications Series, #69
Edition description:
Softcover reprint of the original 1st ed. 1995
Pages:
184
Product dimensions:
6.10(w) x 9.25(h) x 0.02(d)

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