Fixed-lag smoothing for low-delay predictive coding with noise shaping for lossy networks

Thomas Arildsen, Jan Østergaard, Manohar N. Murthi, Søren Vang Andersen, Søren Holdt Jensen

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We consider linear predictive coding and noise shaping for coding and transmission of auto-regressive (AR) sources over lossy networks. We generalize an existing framework to arbitrary filter orders and propose use of fixed-lag smoothing at the decoder, in order to further reduce the impact of transmission failures. We show that fixed-lag smoothing up to a certain delay can be obtained without additional computational complexity by exploiting the statespace structure. We prove that the proposed smoothing strategy strictly improves performance under quite general conditions. Finally, we provide simulations on AR sources, and channels with correlated losses, and show that substantial improvements are possible.

Original languageEnglish (US)
Title of host publicationProceedings - Data Compression Conference, DCC 2010
Number of pages9
StatePublished - 2010
EventData Compression Conference, DCC 2010 - Snowbird, UT, United States
Duration: Mar 24 2010Mar 26 2010

Publication series

NameData Compression Conference Proceedings
ISSN (Print)1068-0314


OtherData Compression Conference, DCC 2010
Country/TerritoryUnited States
CitySnowbird, UT

ASJC Scopus subject areas

  • Computer Networks and Communications


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