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 language | English (US) |
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Pages | 832-837 |
Number of pages | 6 |
DOIs | |
State | Published - 2005 |
Event | 5th IEEE International Symposium on Signal Processing and Information Technology - Athens, Greece Duration: Dec 18 2005 → Dec 21 2005 |
Other
Other | 5th IEEE International Symposium on Signal Processing and Information Technology |
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Country/Territory | Greece |
City | Athens |
Period | 12/18/05 → 12/21/05 |
Keywords
- BCJR algorithm
- Bahl algorithm
- MAP algorithm
- Neural networks
- Turbo codes
- Turbo coding/decoding
ASJC Scopus subject areas
- General Engineering