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Analog decoding using a gradient-type neural network

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1 Author(s)
Ciocoiu, I.B. ; Fac. of Electron. & Telecommun., Tech. Univ. Iasi, Romania

The problem of analog (soft) decision decoding of block codes by means of neural networks is addressed. The proposed solution is based on a recurrent high-order network implementing a special gradient-type system. Simulation results for two different codes are reported, showing improved performances over the classical hard decision decoder

Published in:

Neural Networks, IEEE Transactions on  (Volume:7 ,  Issue: 4 )

Date of Publication:

Jul 1996

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