DISCUS
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DISCUS, or distributed source coding using syndromes, is a method for distributed source coding. It is a compression algorithm used to compress correlated data sources. The method is designed to achieve the Slepian–Wolf bound by using channel codes.
DISCUS, or distributed source coding using syndromes, is a method for distributed source coding. It is a compression algorithm used to compress correlated data sources. The method is designed to achieve the Slepian–Wolf bound by using channel codes. ==History== DISCUS was invented by researchers S. S. Pradhan and K. Ramachandran, and first published in their paper "Distributed source coding using syndromes (DISCUS): design and construction", published in the IEEE Transactions on Information Theory in 20031. ==Variations== Many variations of DISCUS are presented in related literature. One such popular scheme is the Channel Code Partitioning scheme, which is an a-priori scheme, to reach the Slepian–Wolf bound. Many papers illustrate simulations and experiments on channel code partitioning using the turbo codes, Hamming codes and irregular repeat-accumulate codes. "Distributed source coding using syndromes (DISCUS): design and construction" by Pradhan, S.S. and Ramchandran, K. "DISCUS: Distributed Compression for Sensor Networks" Distributed Source Coding can also be implemented using Convolutional Codes or using Turbo Codes
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