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Linear Algebra for Signal Processing

  • Conference proceedings
  • © 1995

Overview

Editors:
  1. Adam Bojanczyk

    1. School of Electrical Engineering 337 E&TC, Cornell University, Ithaca, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. George Cybenko

    1. Dartmouth College, Thayer School of Engineering, Hanover, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

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)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Structured Matrices and Inverses

    • P. Comon
    Pages 1-16

  3. Structured Condition Numbers for Linear Matrix Structures

    • I. Gohberg, I. Koltracht
    Pages 17-26

  4. The Canonical Correlations of Matrix Pairs and their Numerical Computation

    • Gene H. Golub, Hongyuan Zha
    Pages 27-49

  5. Continuity of the Joint Spectral Radius: Application to Wavelets

    • Christopher Heil, Gilbert Strang
    Pages 51-61

  6. Inversion of Generalized Cauchy Matrices and other Classes of Structured Matrices

    • Georg Heinig
    Pages 63-81

  7. Wavelets, Filter Banks, and Arbitrary Tilings of the Time-Frequency Plane

    • C. Herley, J. Kovačević, M. Vetterli
    Pages 83-124

  8. Systolic Algorithms for Adaptive Signal Processing

    • Marc Moonen
    Pages 125-137

  9. Adaptive Algorithms for Blind Channel Equalization

    • John G. Proakis
    Pages 139-151

  10. Square-Root Algorithms for Structured Matrices, Interpolation, and Completion Problems

    • A. H. Sayed, T. Constantinescu, T. Kailath
    Pages 153-184
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Keywords

About this book

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.

Editors and Affiliations

  • School of Electrical Engineering 337 E&TC, Cornell University, Ithaca, USA

    Adam Bojanczyk

  • 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

  • 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

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