Error correcting neural networks for channels with gaussian noise

The main features of error correcting codes and standard decoding techniques are reviewed. Feedforward neural networks for soft-decision decoding of block codes in channels with additive white Gaussian noise are presented. When the noise is not white, the authors deduce the optimal set of weights for the connections of the network. These weights are also approximately obtained by an error backpropagation algorithm. A practical realization for a BCHPeer Reviewe