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Designing realizable Maximum Likelihood (ML) decoders for low-density parity-check (LDPC) codes has always been a challenging problem. Maxwell decoder is a well-known ML decoder for LDPC codes over a binary erasure channel (BEC). Based on the concept used in the Maxwell decoder, it may be possible to design near-ML decoders for LDPC codes over an additive white Gaussian noise (AWGN) channel. In this...
In this paper, we investigate the design of low density parity check (LDPC) codes for the additive white Gaussian noise channel with binary interference causally known at the encoder. Relying on the the extrinsic information transfer chart, we propose a systematic approach to designing LDPC codes for this type of channels. Corroborating numerical examples demonstrate superior performance of our design...
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