Correlation parameter estimation for LDPC-based slepian-wolf coding

Currently, many practical SWC systems are implemented using the low-density parity-check (LDPC) codes in which the virtual correlation channel between source and side information is modeled as a binary symmetric channel (BSC) characterized by the crossover probability. This paper is contributed to the estimation of crossover probability through the probability mass function (PMF) of the magnitudes of loglikelihood ratio (LLR) messages. Simulation results are given to verify our proposed method.