Main Idea: This paper claims that a Recurrent Neural Network can learn from data to decode noisy signal over Additive White Gaussian Noise (AWGN) Channel as good as Viterbi and BCJR algorithm.
Abstract: A critical component in detection under intersymbol interference (ISI) and in turbo equalization is the BCJR algorithm. We combine three approaches to reducing its computation. First, energy ...
Abstract: We present a new version of the additive BCJR algorithm based on a recurrent neural network whose structure reflects an underlying trellis diagram. Starting from a matrix version of the ...
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