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Multiple-description vector quantization using translated lattices with local optimization
KTH, Superseded Departments, Signals, Sensors and Systems.
KTH, Superseded Departments, Signals, Sensors and Systems.
2004 (English)In: GLOBECOM: IEEE Global Telecommunications Conference, NEW YORK: IEEE , 2004, p. 41-45Conference paper, Published paper (Refereed)
Abstract [en]

Multiple-description coding is a joint source- and channel coding technique suitable for real-time multimedia transmission over erasure channels. This work improves the previous methods of multiple-description vector quantization using lattice structured codebooks by introducing translated lattices in the single-description codebooks. The quantizer can easily adapt to the current channel condition, using the locally optimized combined-description codebooks, assuming that channel statistics are available at the encoder. Compared to previous methods, the central distortion is greatly reduced for noisy channels, without a significant effect on complexity.

Place, publisher, year, edition, pages
NEW YORK: IEEE , 2004. p. 41-45
Series
IEEE Global Telecommunications Conference (Globecom), ISSN 1930-529X
Keyword [en]
combined source-channel coding, multimedia communication, optimisation, vector quantisation
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:kth:diva-44012DOI: 10.1109/GLOCOM.2004.1377909ISI: 000226689900009Scopus ID: 2-s2.0-18144376704ISBN: 0-7803-8794-5 (print)OAI: oai:DiVA.org:kth-44012DiVA: diva2:449079
Conference
GLOBECOM'04 - IEEE Global Telecommunications Conference; Dallas, TX; 29 November 2004 through 3 December 2004
Note
QC 20111019Available from: 2011-10-19 Created: 2011-10-19 Last updated: 2012-03-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf