Linear Algebra for Signal Processing [electronic resource] /

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.

Bibliographic Details

Main Authors:	Bojanczyk, Adam. editor., Cybenko, George. editor., SpringerLink (Online service)
Format:	Texto biblioteca
Language:	eng
Published:	New York, NY : Springer New York, 1995
Subjects:	Engineering., Mathematics., Signal, Image and Speech Processing., Mathematics, general.,
Online Access:	http://dx.doi.org/10.1007/978-1-4612-4228-4
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