Researches On Turbo Codes Based Slepian-Wolf Coding

Sincethetraditional videocodingstandards, like MPEG-4andH.264,use motionestimation and motion compensation in the encoder. The complexityof encoder is veryhigh, which restricts its use in the fields such as video surveillance sensor networks,wirelessPCcamerasandmobilecameraphone.The distributed coding paradigm based on Slepian-Wolf theory and Wyner-Zivtheory resolves the difficult problem. It makes use of dependent random sequences,associatingaseparated,independent encodertoeachofthem.Anindependent bitstreamis sent from each encodertoa singledecoderwhichperforms ajoint decodingofall thereceived bitstreams exploiting the statistical dependencies between them. This switchesthecomplexityofencodertodecoder,itnotonlyholdstheindependentofsourcecodingand the lower computational complexity, but also removes the redundant information ofdependentsourceeffectively.In distributed coding, Slepian-Wolf coding plays a critical role. So study ofSlepian-Wolf coding is of theoretical importance and potential application virtue. Inthis paper, firstly, the Slepian-Wolf coding theory and the Wyner-Ziv coding theory arereviewed. Secondly, Analyzes the relation of Slepian-Wolf coding and the channelcoding in detail. The convolutional code, interleaver and puncturing are then brieflyintroduced.Theprocess oftheSlepian-Wolfencodinganddecodingarestudiedindetail,especially analyzes The MAP decoding algorithm deeply. based on the abovework ,realizingthe Slepian-wolf'encoder and decoder based turbo codes. Finally, usingtwo dependent binary sequences, after many experiments, the performance of turbocodesforSlepian–Wolfcodingisverified.