Change search
CiteExportLink to record
Permanent link

Direct link
Cite
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
Rate distribution between model and signal for multiple descriptions
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Sound and Image Processing.
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre. KTH, School of Electrical Engineering (EES), Sound and Image Processing.
2009 (English)In: 2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, 2489-2492 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider the rate allocation problem for multiple-description quantization of the signal described by an adaptive model with a fixed structure. The source modeling in coding generally results in a two-stage description of the data, where one of the stages describes the model parameters, and the other describes the signal. Such a setup implies the existence of a trade-off between the rate spent on the parameters and the rate spent on the signal. We optimize this trade-off analytically for the multiple-description case using a method inspired by Minimum Description Length principle. We also provide an algorithm for optimizing the rate allocation between the components of the model-based multiple description coder. Finally we experimentally confirm our results. Our method facilitates the rate-adaptive multiple-description coding.

Place, publisher, year, edition, pages
2009. 2489-2492 p.
Series
International Conference on Acoustics Speech and Signal Processing (ICASSP), ISSN 1520-6149
Keyword [en]
source modeling, multiple description coding (MDC), audio coding
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-30712DOI: 10.1109/ICASSP.2009.4960127ISI: 000268919201162Scopus ID: 2-s2.0-70349197583ISBN: 978-1-4244-2353-8 (print)OAI: oai:DiVA.org:kth-30712DiVA: diva2:402736
Conference
IEEE International Conference on Acoustics, Speech and Signal Processing, Taipei, TAIWAN, APR 19-24, 2009
Note
QC 20110309Available from: 2011-03-09 Created: 2011-03-04 Last updated: 2011-03-09Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Klejsa, JanuszKleijn, W. Bastiaan
By organisation
ACCESS Linnaeus CentreSound and Image Processing
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 42 hits
CiteExportLink to record
Permanent link

Direct link
Cite
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