Distributed Arithmetic Coding for the Slepian-Wolf Problem

Distributed source coding schemes are typically based on the use of channels codes as source codes. In this paper we propose a new paradigm, named ldquodistributed arithmetic coding,rdquo which extends arithmetic codes to the distributed case employing sequential decoding aided by the side informati...

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Vydáno v:	IEEE transactions on signal processing Ročník 57; číslo 6; s. 2245 - 2257
Hlavní autoři:	Grangetto, M., Magli, E., Olmo, G.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.06.2009 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Applied sciences Arithmetic Arithmetic coding Codes Coding, codes compression Context modeling Decoding distributed source coding Encoding Entropy Exact sciences and technology Image coding Information, signal and communications theory LDPC codes Miscellaneous Parity check codes Signal and communications theory Signal processing Slepian-Wolf coding Source coding Telecommunications and information theory Turbo codes Video coding Wyner-Ziv coding Performance evaluation Source coding turbo codes, Wyner―Ziv coding Distributed source signal Turbo code Channel coding Sequential decoding LDPC codes Slepian―Wolf coding distributed source coding Statistical model Arithmetic code Signal processing Parity check codes Error correcting code Wyner Ziv problem Open market Arithmetic coding compression
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
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