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A COVQ-Based image coder for channels with bit errors and erasures
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
2008 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 56, no 2, 161-165 p.Article in journal (Refereed) 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.

Place, publisher, year, edition, pages
IEEE Communications Society , 2008. Vol. 56, no 2, 161-165 p.
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-17316DOI: 10.1109/tcomm.2008.040277ISI: 000253089800001Scopus ID: 2-s2.0-40749102493OAI: oai:DiVA.org:kth-17316DiVA: diva2:335360
Note
QC 20100525Available from: 2010-08-05 Created: 2010-08-05 Last updated: 2011-12-28Bibliographically approved

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Skoglund, Mikael

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