The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

On error exponents for woven convolutional codes with one tailbiting component code

Author

Summary, in English

An error exponent for woven convolutional codes (WCC) with one tailbiting component code is derived. This error exponent is compared with that of the original WCC. It is shown that for WCC with outer warp, a better error exponent is obtained if the inner code is terminated with the tailbiting method. Furthermore, it is shown that the decoding error probability decreases exponentially with the square of the memory of the constituent convolutional encoders, while the decoding complexity grows exponentially only with the memory.

Publishing year

2004

Language

English

Pages

1809-1811

Publication/Series

IEEE Transactions on Information Theory

Volume

50

Issue

8

Document type

Journal article

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • woven
  • tailbiting code
  • convolutional code
  • error exponent
  • convolutional code (WCC)

Status

Published

ISBN/ISSN/Other

  • ISSN: 0018-9448