A decision feedback based scheme for Slepian-Wolf coding of sources with hidden Markov correlation

We consider the problem of compression of two memoryless binary sources, the correlation between which is defined by a hidden Markov model (HMM). We propose a decision feedback (DF) based scheme which when used with low density parity check codes results in compression close to the Slepian-Wolf limit.