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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.
==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 2003.
==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.
== See also ==
* Modulo-N code is a simpler technique for compressing correlated data sources. * Distributed source coding
== External links ==
* [https://ieeexplore.ieee.org/document/755665/;jsessionid=73D1F8E0BC4F84806B7FD42D4CB77A2A?arnumber=755665 "Distributed source coding using syndromes (DISCUS): design and construction" by Pradhan, S.S. and Ramchandran, K.] * [https://web.archive.org/web/20060319005853/http://www2.parc.com/spl/projects/cosense/csp/slides/Ramchandran.pdf "DISCUS: Distributed Compression for Sensor Networks"] * Distributed Source Coding can also be implemented [http://ivms.stanford.edu/~amaaron/dsc/index.htm using Convolutional Codes or using Turbo Codes] {{Webarchive|url=https://web.archive.org/web/20061215213658/http://ivms.stanford.edu/~amaaron/dsc/index.htm |date=2006-12-15 }}
Category:Information theory Category:Wireless sensor network
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