Journal of Global Optimization
Compression with Side Information Using Turbo Codes
DCC '02 Proceedings of the Data Compression Conference
Rate-adaptive codes for distributed source coding
Signal Processing - Special section: Distributed source coding
Design of capacity-approaching irregular low-density parity-check codes
IEEE Transactions on Information Theory
Analysis of sum-product decoding of low-density parity-check codes using a Gaussian approximation
IEEE Transactions on Information Theory
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A degree distribution design method of Low-Density Parity-Check Accumulate (LDPCA) codes [6] is proposed for rate-compatible asymmetric Slepian-Wolf coding (SWC) of correlated binary memoryless sources. The degree distribution is designed by seeking the simultaneous optimum at the lowest and the highest compression rates of the specified range with density evolution algorithm. The experimental results show that the coding efficiency of codes constructed with the designed degree distribution is close to the Slepian-Wolf limit over the entire target range and better than all other reported results of the rate-compatible asymmetric SWC.