Skip to main content Accessibility help
×
Hostname: page-component-76fb5796d-vfjqv Total loading time: 0 Render date: 2024-04-28T22:17:14.892Z Has data issue: false hasContentIssue false

7 - Linear codes

from Part two - Coding theory

Published online by Cambridge University Press:  05 June 2012

R. J. McEliece
Affiliation:
California Institute of Technology
Get access

Summary

Introduction: The generator and parity-check matrices

We have already noted that the channel coding theorem (Theorem 2.4) is unsatisfactory from a practical standpoint. This is because the codes whose existence is proved there suffer from at least three distinct defects:

  1. (a) They are hard to find (although the proof of Theorem 2.4 suggests that a code chosen “at random” is likely to be pretty good, provided its length is large enough).

  2. (b) They are hard to analyze. (Given a code, how are we to know how good it is? The impossibility of computing the error probability for a fixed code is what led us to the random coding artifice in the first place!)

  3. (c) They are hard to implement. (In particular, they are hard to decode: the decoding algorithm suggested in the proof of Theorem 2.4–search the region S(y) for codewords, and so on–is hopelessly complex unless the code is trivially small.)

In fact, virtually the only coding scheme we have encountered so far which suffers from none of these defects is the (7, 4) Hamming code of the Introduction. In this chapter we show that the Hamming code is a member of a very large class of codes, the linear codes, and in Chapters 7–9 we show that there are some very good linear codes which are free from the three defects cited above.

Type
Chapter
Information
The Theory of Information and Coding
Student Edition
, pp. 139 - 166
Publisher: Cambridge University Press
Print publication year: 2004

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

  • Linear codes
  • R. J. McEliece, California Institute of Technology
  • Book: The Theory of Information and Coding
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511819896.012
Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Linear codes
  • R. J. McEliece, California Institute of Technology
  • Book: The Theory of Information and Coding
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511819896.012
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Linear codes
  • R. J. McEliece, California Institute of Technology
  • Book: The Theory of Information and Coding
  • Online publication: 05 June 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9780511819896.012
Available formats
×