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This algorithm is reserved to the implementation of the Bahl, Cocke, Jelinek and Raviv (BCJR)
% algorithm. This function takes as input the channel output (corrupted
% data) and the a priori prob (we will set it to 1/2) and returns as output
% the APP Log Likelihood Ratio (LLR) for every data input. It is usually called a
% Soft Input Soft Output (SISO) decoder. It can be applied to any code
% having a finite state machine, in our case we will use it for rate-1/n convolutional codes.
Cite As
Khalil (2026). BCJR Decoder (https://in.mathworks.com/matlabcentral/fileexchange/57327-bcjr-decoder), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.0.0.0 (1.59 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.0.0 |
