Distributed Compression of Binary Sources Using Conventional Parallel and Serial Concatenated Convolutional Codes

Snowbird, Utah March 25-March 27

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http://doi.ieeecomputersociety.org/10.1109/DCC.2003.1194010

Data Compression Conference (DCC '03)

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	Angelos D. Liveris, Zixiang Xiong, Costas N. Georghiades, "Distributed Compression of Binary Sources Using Conventional Parallel and Serial Concatenated Convolutional Codes," Data Compression Conference, pp. 193, Data Compression Conference (DCC '03), 2003.

	BibTex	x
	@article{ 10.1109/DCC.2003.1194010, author = {Angelos D. Liveris and Zixiang Xiong and Costas N. Georghiades}, title = {Distributed Compression of Binary Sources Using Conventional Parallel and Serial Concatenated Convolutional Codes}, journal ={Data Compression Conference}, volume = {0}, year = {2003}, issn = {1068-0314}, pages = {193}, doi = {http://doi.ieeecomputersociety.org/10.1109/DCC.2003.1194010}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Data Compression Conference TI - Distributed Compression of Binary Sources Using Conventional Parallel and Serial Concatenated Convolutional Codes SN - 1068-0314 SP EP A1 - Angelos D. Liveris, A1 - Zixiang Xiong, A1 - Costas N. Georghiades, PY - 2003 KW - null VL - 0 JA - Data Compression Conference ER -

Angelos D. Liveris, Texas A&M University

Zixiang Xiong, Texas A&M University

Costas N. Georghiades, Texas A&M University

We show how conventional parallel (turbo) and serial concatenated convolutional codes can be used to compress close to the Slepian-Wolf limit ofr correlated binary sources. Conventional refers to codes already used in channel coding. Focusing on the asymmetric case of compression of an equiprobable memoryless binary source with side information at the decoder, the approach is based on modeling the correlation as a channel and using syndromes. The encoding and decoding procedures are explained in detail. The performance achieved is seen to be better than recently published results using nonconventional turbo codes and very close to the Slepian-Wolf limit.

Citation:

Angelos D. Liveris, Zixiang Xiong, Costas N. Georghiades, "Distributed Compression of Binary Sources Using Conventional Parallel and Serial Concatenated Convolutional Codes," dcc, pp.193, Data Compression Conference (DCC '03), 2003

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