Title :
Rateless Slepian-Wolf Coding Based on Rate Adaptive Low-Density-Parity-Check Codes
Author :
Jing Jiang ; Dake He ; Jagmohan, A.
Author_Institution :
Texas A&M Univ., College Station
Abstract :
A rateless Slepian-Wolf coding (SWC) scheme based on rate adaptive low-density-parity-check (LDPC) codes is presented. We first motivate the application of punctured LDPC codes in SWC. A general rate adaptive LDPC framework is then described. The main idea is to adjust the puncturing ratio in the specified variable nodes for rate adaptivity while keeping the bipartite graph structure intact. As a complement, a repetition scheme is proposed for high rate SWC. The asymptotic performance of the proposed scheme is analyzed by density evolution (DE) with universal coding bounds and finite code length performance is verified by computer simulations.
Keywords :
graph theory; parity check codes; asymptotic performance; bipartite graph structure; density evolution; finite code length performance; punctured LDPC codes; rate adaptive low-density-parity-check codes; rateless Slepian-Wolf coding; universal coding bounds; Application software; Bipartite graph; Computer simulation; Decoding; Parity check codes; Performance analysis; Source coding; Statistics; Video compression; Wireless sensor networks;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557405