BCJR algorithm
The BCJR algorithm is an algorithm for maximum a posteriori decoding of codes defined on trellises (principally convolutional codes). The algorithm is named after its inventers: Bahl, Cocke, Jelinik and Raviv [1].
References
- ^ L.Bahl, J.Jelinek, J.Raviv, and F.Raviv, "Optimal Decoding of Linear Codes for minimising symbol error rate", IEEE Transactions on Information Theory, vol. IT-20, pp.284-287, March 1974.
External links
- The on-line textbook: Information Theory, Inference, and Learning Algorithms, by David J.C. MacKay, discusses the BCJR algorithm in chapter 25.