BCJR_conv
于 2013-02-03 发布
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代码说明：
This algorithm is reserved to the implementation of the Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. This function take 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 Liklihood 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.
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