Title :
Error correcting neural networks for channels with Gaussian noise
Author :
Ortuno, I. ; Ortuno, M. ; Delgado, J.A.
Author_Institution :
Dept. d´´Inf., Univ. Autonoma de Barcelona, Spain
Abstract :
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 BCH (7,4) code is presented, and exhaustive numerical simulations were performed
Keywords :
BCH codes; error correction codes; feedforward neural nets; random noise; BCH codes; Gaussian noise; block codes; decoding techniques; error backpropagation algorithm; error correcting codes; numerical simulations; soft-decision decoding; Additive white noise; Block codes; Code standards; Decoding; Error correction; Error correction codes; Feedforward neural networks; Gaussian noise; Neural networks; White noise;
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
DOI :
10.1109/IJCNN.1992.227326
