NDLI: Optimal code design for lossless and near lossless source coding in multiple access networks

Content Provider	IEEE Xplore Digital Library
Author	Qian Zhao Effros, M.
Copyright Year	2001
Description	Author affiliation: Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA (Qian Zhao)
Abstract	A multiple access source code (MASC) is a source code designed for the following network configuration: a pair of correlated information sequences {X/sub i/}/sub i=1//sup /spl infin// and {Y/sub i/}/sub i=1//sup /spl infin// is drawn i.i.d. according to the joint probability mass function (p.m.f.) p(x,y); the encoder for each source operates without knowledge of the other source; the decoder jointly decodes the encoded bit streams from both sources. The work of Slepian and Wolf (1973) describes all rates achievable by MASCs with arbitrarily small but non-zero error probabilities but does not address truly lossless coding or code design. We consider practical code design for lossless and near lossless MASCs. We generalize the Huffman and arithmetic code design algorithms to attain the corresponding optimal MASC codes for arbitrary p.m.f. p(x,y). Experimental results comparing the optimal achievable rate region to the Slepian-Wolf region are included.
Sponsorship	Brandeis Univ.
Starting Page	263
Ending Page	272
File Size	634880
Page Count	10
File Format	PDF
ISBN	0769510310
ISSN	10680314
DOI	10.1109/DCC.2001.917157
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-03-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Source coding Intelligent networks Decoding Arithmetic Algorithm design and analysis Transmitters Sensor systems Error probability Central Processing Unit
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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