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<?Pub Dtl?>Interactive encoding and decoding based on binary low-density parity-check codes with syndrome accumulation (SA-LDPC-IED) is proposed and investigated. Assume that the source alphabet is , and the side information alphabet is finite. It is first demonstrated how to convert any classical universal lossless code (with block length and side information available...
Given an independent and identically distributed source X = {Xi}i=1∞ with finite Shannon entropy or differential entropy (as the case may be) H(X), the non-asymptotic equipartition property (NEP) with respect to H(X) is established, which characterizes, for any finite block length n, how close −1 over n ln p(X1X2…Xn) is to H(X) by determining the information spectrum of X1X2…Xn, i.e., the distribution...
Distributed near lossless coding of individual sequences X and Y is considered, where X and Y are first encoded separately and then sent to a joint decoder. Unlike distributed near lossless coding of correlated random sources, the joint decoder in distributed coding of individual sequences does not help at all. In other words, the minimum numbers of bits to be sent from X and Y respectively to the...
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