Skip to main content
SpringerLink
Log in

Algebraic Methods for Signal Processing and Communications Coding

  • Book
  • © 1992

Overview

Authors:
  1. Richard E. Blahut

    1. IBM, Owego, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

Part of the book series: Signal Processing and Digital Filtering (SIGNAL PROCESS)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (8 chapters)

  1. Front Matter

    Pages i-x
    Download chapter PDF

  2. Introduction

    • Richard E. Blahut
    Pages 1-5

  3. Mathematical Fundamentals

    • Richard E. Blahut
    Pages 7-28

  4. Sequences and Spectra

    • Richard E. Blahut
    Pages 29-56

  5. Cyclic Codes and Related Codes

    • Richard E. Blahut
    Pages 57-69

  6. Fast Algorithms for Convolution

    • Richard E. Blahut
    Pages 71-88

  7. Solving Toeplitz Systems

    • Richard E. Blahut
    Pages 89-104

  8. Fast Algorithms for the Fourier Transform

    • Richard E. Blahut
    Pages 105-117

  9. Decoding of Cyclic Codes

    • Richard E. Blahut
    Pages 119-134

  10. Back Matter

    Pages 135-143
    Download chapter PDF
Back to top

Keywords

About this book

Algorithms for computation are a central part of both digital signal pro­ cessing and decoders for error-control codes and the central algorithms of the two subjects share many similarities. Each subject makes extensive use of the discrete Fourier transform, of convolutions, and of algorithms for the inversion of Toeplitz systems of equations. Digital signal processing is now an established subject in its own right; it no longer needs to be viewed as a digitized version of analog signal process­ ing. Algebraic structures are becoming more important to its development. Many of the techniques of digital signal processing are valid in any algebraic field, although in most cases at least part of the problem will naturally lie either in the real field or the complex field because that is where the data originate. In other cases the choice of field for computations may be up to the algorithm designer, who usually chooses the real field or the complex field because of familiarity with it or because it is suitable for the particular application. Still, it is appropriate to catalog the many algebraic fields in a way that is accessible to students of digital signal processing, in hopes of stimulating new applications to engineering tasks.

Authors and Affiliations

  • IBM, Owego, USA

    Richard E. Blahut

Bibliographic Information

  • Book Title: Algebraic Methods for Signal Processing and Communications Coding

  • Authors: Richard E. Blahut

  • Series Title: Signal Processing and Digital Filtering

  • DOI: https://doi.org/10.1007/978-1-4612-2826-4

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag New York, Inc. 1992

  • Softcover ISBN: 978-1-4612-7687-6Published: 08 October 2011

  • eBook ISBN: 978-1-4612-2826-4Published: 06 December 2012

  • Series ISSN: 1431-7893

  • Edition Number: 1

  • Number of Pages: X, 143

  • Topics: Communications Engineering, Networks

Publish with us

Policies and ethics

Back to top

Search

Navigation