Deep Learning Methods for Improved Decoding of Linear Codes

21 Jun 2017Eliya NachmaniElad MarcianoLoren LugoschWarren J. GrossDavid BurshteinYair Beery

The problem of low complexity, close to optimal, channel decoding of linear codes with short to moderate block length is considered. It is shown that deep learning methods can be used to improve a standard belief propagation decoder, despite the large example space... (read more)

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