Neural network implementation of the BCJR algorithm based on reformulation using matrix algebra

Murat H. Sazli, Can Isik

Research output: Contribution to conferencePaperpeer-review

2 Scopus citations

Abstract

In this paper, we show that the BCJR algorithm (or Bahl algorithm) can be implemented as a feedforward neural network structure based on a reformulation of the algorithm using matrix algebra. We verified through computer simulations that this novel neural network implementation yields identical results with the BCJR algorithm.

Original languageEnglish (US)
Pages832-837
Number of pages6
DOIs
StatePublished - Dec 1 2005
Event5th IEEE International Symposium on Signal Processing and Information Technology - Athens, Greece
Duration: Dec 18 2005Dec 21 2005

Other

Other5th IEEE International Symposium on Signal Processing and Information Technology
CountryGreece
CityAthens
Period12/18/0512/21/05

Keywords

  • Bahl algorithm
  • BCJR algorithm
  • MAP algorithm
  • Neural networks
  • Turbo codes
  • Turbo coding/decoding

ASJC Scopus subject areas

  • Engineering(all)

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