Distributed Arithmetic Coding for the Slepian-Wolf Problem

• Published in: IEEE transactions on signal processing Vol. 57; no. 6; pp. 2245 - 2257
• Main Authors: Grangetto, M., Magli, E., Olmo, G.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.06.2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: 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

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...