Title :
Linear Interactive Encoding and Decoding for Lossless Source Coding With Decoder Only Side Information
Author :
Meng, Jin ; Yang, En-Hui ; He, Da-Ke
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
Linear interactive encoding and decoding (IED) for near lossless source coding with decoder only side information is considered, where the interactive encoder uses linear codes (described by parity-check matrices over a finite field X) for encoding. It is first demonstrated how to convert any classical universal lossless code Cn (with block length n and with side information available to both the encoder and decoder) into a universal random linear IED scheme based on Gallager´s parity check ensemble. It is then shown that there is no performance loss by restricting IED to linear IED, and that the universal random linear IED scheme based on Gallager´s parity check ensemble achieves essentially the same rate performance as does Cn for each and every individual sequence pair (xn, yn) while the word decoding error probability goes to 0 as n → ∞ . Define the density of a linear IED scheme as the percentage of nonzero entries in its parity-check matrix. To reduce the encoding complexity of linear IED, low density linear IED is further investigated in terms of the trade-off among its rate, decoding error probability, and density.
Keywords :
linear codes; parity check codes; source coding; Gallager parity check ensemble; linear codes; linear interactive decoding; linear interactive encoding; lossless source coding; Bit rate; Decoding; Error probability; Matrix converters; Parity check codes; Source coding; Distributed source coding; Slepian-Wolf coding; entropy and conditional entropy; individual sequences; interactive encoding and decoding; parity-check matrix; stationary and ergodic sources;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2011.2158899