DISCUS
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DISCUS is an acronym for Distributed Source Coding Using Syndromes.
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DISCUS is a compression algorithm used to compress correlated data sources.
DISCUS is a particular scheme used in source coding which is designed to achieve the Slepian-Wolf bound (David Slepian) by using channel codes.
DISCUS was invented by researchers SS Pradhan and K Ramachandran, in their seminal paper Distributed source coding using syndromes (DISCUS): design and construction published in the Information Theory, IEEE Transactions on, 2003.
DISCUS is a source coding scheme for correlated sources, which are common in the case of sensor readings from a dense group of wireless sensor networks. DISCUS tries to model a particular source correlation as a channel noise, and tries to find a channel code that performs well for this channel noise. This channel code, is then proved to be the best code that can perform as a source code for the correlated data sources.
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.
- Modulo-N code is a simpler technique for compressing correlated data sources.
- "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