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Linear Algebra for Signal Processing

  • Adam Bojanczyk
  • George Cybenko

Part of the The IMA Volumes in Mathematics and its Applications book series (IMA, volume 69)

Table of contents

About these proceedings

Introduction

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.

Keywords

Algebra Interpolation Opening linear algebra mathematics signal processing

Editors and affiliations

  • Adam Bojanczyk
    • 1
  • George Cybenko
    • 2
  1. 1.School of Electrical Engineering 337 E&TCCornell UniversityIthacaUSA
  2. 2.Dartmouth CollegeThayer School of EngineeringHanoverUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4612-4228-4
  • Copyright Information Springer-Verlag New York 1995
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4612-8703-2
  • Online ISBN 978-1-4612-4228-4
  • Series Print ISSN 0940-6573
  • Buy this book on publisher's site
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