Channel decoding of systematically encoded unknown redundant sources

Erik Ordentlich, Gadiel Seroussi, Sergio Verdú, Krishnamurthy Viswanathan, Marcelo J. Weinberger, Tsachy Weissman

Abstract: This paper describes the channel decoding of systematically encoded unknown redundant sources. The redundancy of the data is known at the decoder and the channel decoder incorporates the statistics of the data to enhance the performance. The practical decoders are designed which takes the advantage of the source redundancy of systematically encoded for transmission over a discrete memoryless channel (DMC). The performance is achieved by operating discrete universal denoiser (DUDE) and the experiments involving Reed-Solomon codes show that DUDE-enhanced decoding is very effective at high rates.