LDPC code design for asynchronous Slepian-Wolf coding

Analysis of Slepian Wolf Coding

Universal Incremental Slepian-Wolf Coding

We present a strategy for Slepian-Wolf coding when the joint distribution of the sources is unknown. The encoders use an incremental transmission policy, and the decoder a universal sequential decision test. We show that the decoder is able to decode shortly after the rates of transmission exceed the Slepian-Wolf bounds. The decoder then send an ACK back to the encoders, terminating transmissio...

Polar Codes for Nonasymmetric Slepian-Wolf Coding

A method to construct nonasymmetric distributed source coding (DSC) scheme using polar codes which can achieve any point on the dominant face of the Slepian–Wolf (SW) rate region for sources with uniform marginals is considered. In addition to nonasymmetric case, we also discuss and show explicitly how asymmetric and single source compression is done using successive cancellation (SC) polar dec...

Multiterminal Source Code Design Based on Slepian-Wolf coded quantization∗

Multiterminal (MT) source coding refers to separate lossy encoding and joint decoding of multiple correlated sources. This paper presents two practical MT coding schemes under the same general framework of Slepian-Wolf coded quantization (SWCQ) for both direct and indirect quadratic Gaussian MT source coding problems with two encoders. The first asymmetric SWCQ scheme relies on quantization and...

Density Evolution Technique for LDPC Codes in Slepian-Wolf Coding of Nonuniform Sources

This paper attempts to examine the optimality of LDPC codes for compression of nonuniform source with Slepian-Wolf coding using density evolution technique. The primary goal is to evaluate the performance of LDPC codes with reference to turbo codes (in SF-ISF setup). The appreciable difference between LDPC and turbo codes is also discussed in this paper. The threshold values obtained from the d...