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A COVQ-Based image coder for channels with bit errors and erasures
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.
KTH, Skolan för elektro- och systemteknik (EES), Kommunikationsteori. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0002-7926-5081
2008 (engelsk)Inngår i: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 56, nr 2, s. 161-165Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

We illustrate how channel optimized vector quantization (COVQ) can be used for channels with both bit-errors and bit-erasures. First, a memoryless channel model is presented, and the performance of COVQ's trained for this channel is evaluated for an i.i.d. Gaussian source. Then, the new method is applied in implementing an error-robust sub-band image coder, and we present image results that illustrate the resulting performance. Our experiments show that the new approach is able to outperform a traditional scheme based on separate source and channel coding.

sted, utgiver, år, opplag, sider
IEEE Communications Society , 2008. Vol. 56, nr 2, s. 161-165
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URN: urn:nbn:se:kth:diva-17316DOI: 10.1109/tcomm.2008.040277ISI: 000253089800001Scopus ID: 2-s2.0-40749102493OAI: oai:DiVA.org:kth-17316DiVA, id: diva2:335360
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QC 20100525Tilgjengelig fra: 2010-08-05 Laget: 2010-08-05 Sist oppdatert: 2017-12-12bibliografisk kontrollert

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