Title :
Hamming coding for Multiple Sources
Author :
Ma, Rick ; Cheng, Samuel
Author_Institution :
Dept. of Math., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
We introduce Hamming Codes for Multiple Sources (HCMSs) as a potential solution of perfect Slepian-Wolf (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 perfect SW code with sufficiently long code length, the compression rates of different sources can be trade-off flexibly.
Keywords :
Hamming codes; data compression; Hamming codes for multiple sources; compression rates; perfect Slepian-Wolf coding; Base stations; Channel coding; Decoding; Encoding; Entropy; Hydrogen; Mathematics; Source coding; Hamming code; Slepian-Wolf coding; distributed source coding; perfect code;
Conference_Titel :
Information Theory Proceedings (ISIT), 2010 IEEE International Symposium on
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-7890-3
Electronic_ISBN :
978-1-4244-7891-0
DOI :
10.1109/ISIT.2010.5513256
