Computer Science – Information Theory
Scientific paper
2010-01-22
Computer Science
Information Theory
11 pages, no figure
Scientific paper
We consider Slepian-Wolf (SW) coding of multiple sources and extend the packing bound and the notion of perfect code from conventional channel coding to SW coding with more than two sources. We then introduce Hamming Codes for Multiple Sources (HCMSs) as a potential solution of perfect SW coding for arbitrary number of terminals. Moreover, we study the case with three sources in detail. We present the necessary conditions of a perfect SW code and show that there exists infinite number of HCMSs. Moreover, we show that for a perfect SW code with sufficiently long code length, the compression rates of different sources can be trade-off flexibly. Finally, we relax the construction procedure of HCMS and call the resulting code generalized HCMS. We prove that every perfect SW code for Hamming sources is equivalent to a generalized HCMS.
Cheng Samuel
Ma Rick
No associations
LandOfFree
Hamming Code for Multiple Sources does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Hamming Code for Multiple Sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Hamming Code for Multiple Sources will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-514500