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Found 4 papers, 0 papers with code
LDPC Decoding with Degree-Specific Neural Message Weights and RCQ Decoding
The neural network complexity to determine distinct weights for each edge is high, often limiting the application to relatively short LDPC codes.
Achievable Rates and Low-Complexity Encoding of Posterior Matching for the BSC
Yang et al. provide an improved lower bound on the achievable rate using martingale analysis that relies on the small-enough difference (SED) partitioning introduced by Naghshvar et al. SED requires a relatively complex encoder and decoder.
Reconstruction-Computation-Quantization (RCQ): A Paradigm for Low Bit Width LDPC Decoding
RCQ facilitates dynamic non-uniform quantization to achieve good frame error rate (FER) performance with very low message precision.
FPGA Implementations of Layered MinSum LDPC Decoders Using RCQ Message Passing
Non-uniform message quantization techniques such as reconstruction-computation-quantization (RCQ) improve error-correction performance and decrease hardware complexity of low-density parity-check (LDPC) decoders that use a flooding schedule.
