Scalable predictive coding as the Wyner-Ziv problem

A. Sehgal, A. Jagmohan, Narendra Ahuja

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

Abstract

An alternative to scalable predictive coding of first order Gauss-Markov processes is proposed in this paper. It is shown that conventional scalable predictive coding is inherently suboptimal. An alternative to scalable predictive coding, which achieves the rate-distortion performance of predictive coding for first-order Gauss-Markov processes is then proposed. The proposed approach is posed as a variant of the well-known Wyner-Ziv (1976) problem. By using coset codes with nested lattices, the present paper proves that the proposed approach achieves the predictive coding bound asymptotically at all scales while simultaneously providing the functionality of scalable coding.

Original languageEnglish (US)
Title of host publication8th International Conference on Communication Systems, ICCS 2002 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages101-106
Number of pages6
ISBN (Electronic)0780375106, 9780780375109
DOIs
StatePublished - Jan 1 2002
Externally publishedYes
Event8th International Conference on Communication Systems, ICCS 2002 - Singapore, Singapore
Duration: Nov 25 2002Nov 28 2002

Publication series

Name8th International Conference on Communication Systems, ICCS 2002 - Proceedings

Other

Other8th International Conference on Communication Systems, ICCS 2002
Country/TerritorySingapore
CitySingapore
Period11/25/0211/28/02

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Networks and Communications

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