Reed-Solomon encoder/decoder application using a neural network

Abstract
Reed-Solomon codes are widely used in deep-space communication, compact disc audio systems, and frequency-hopped systems. However, the VLSI implementation of these codes is still very complex, and encoding/decoding by using these chips is very time consuming. Neural network implementation of these codes has resulted in reduced complexity, enhanced error correction capability, fast processing, and improved signal-to-noise ratio. The proposed scheme requires less bandwidth, utilizes soft decision decoding, and exploits the redundancy in the English language.

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