Soft output decision convolutional (SONNA) decoders based on the application of neural networks
Engineering Applications of Artificial Intelligence
High-order associative memories for pattern recognition
ICS'08 Proceedings of the 12th WSEAS international conference on Systems
Theory and application of neural networks for 1/n rate convolutional decoders
Engineering Applications of Artificial Intelligence
FPGA prototyping of neuro-adaptive decoder
CIMMACS '10 Proceedings of the 9th WSEAS international conference on computational intelligence, man-machine systems and cybernetics
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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