Editors:
Part of the book series: The IMA Volumes in Mathematics and its Applications (IMA, volume 69)
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Table of contents (9 papers)
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Front Matter
About this book
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.
Editors and Affiliations
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School of Electrical Engineering 337 E&TC, Cornell University, Ithaca, USA
Adam Bojanczyk
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Dartmouth College, Thayer School of Engineering, Hanover, USA
George Cybenko
Bibliographic Information
Book Title: Linear Algebra for Signal Processing
Editors: Adam Bojanczyk, George Cybenko
Series Title: The IMA Volumes in Mathematics and its Applications
DOI: https://doi.org/10.1007/978-1-4612-4228-4
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag New York, Inc. 1995
Hardcover ISBN: 978-0-387-94491-3Published: 07 April 1995
Softcover ISBN: 978-1-4612-8703-2Published: 07 October 2011
eBook ISBN: 978-1-4612-4228-4Published: 06 December 2012
Series ISSN: 0940-6573
Series E-ISSN: 2198-3224
Edition Number: 1
Number of Pages: XVI, 184
Topics: Signal, Image and Speech Processing, Mathematics, general