The likelihood encoder with applications to lossy compression and secrecy

Eva C. Song, Paul Cuff, H. Vincent Poor

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

Abstract

A likelihood encoder is studied in the context of lossy source compression. The analysis of the likelihood encoder is based on a soft-covering lemma. It is demonstrated that the use of a likelihood encoder together with the soft-covering lemma recovers the point-to-point rate-distortion function, the rate-distortion function with side information at the decoder, and several other important inner bounds for multi-user lossy compression. The likelihood encoder also provides a way for analyzing rate-distortion based secrecy systems. Coupled with hybrid coding, new achievability results are obtained for a joint source-channel secrecy model that outperform an operationally separate source-channel coding scheme.

Original languageEnglish (US)
Title of host publication2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages301-307
Number of pages7
ISBN (Electronic)9781479971954
DOIs
StatePublished - Oct 27 2015
EventInformation Theory and Applications Workshop, ITA 2015 - San Diego, United States
Duration: Feb 1 2015Feb 6 2015

Publication series

Name2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings

Other

OtherInformation Theory and Applications Workshop, ITA 2015
CountryUnited States
CitySan Diego
Period2/1/152/6/15

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Information Systems

Keywords

  • Area measurement
  • Indexes

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  • Cite this

    Song, E. C., Cuff, P., & Poor, H. V. (2015). The likelihood encoder with applications to lossy compression and secrecy. In 2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings (pp. 301-307). [7309004] (2015 Information Theory and Applications Workshop, ITA 2015 - Conference Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITA.2015.7309004