MAP criterion trellis source coding for short data sequences

Tomas Eriksson, Mirek Novak, John B Anderson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review

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Abstract

New trellis constructions for compression of short data sequences are presented. Traditional low rate trellis
source coding suffers from having a too small a reproduction alphabet. Governed by alphabet-constrained rate-distortion theory we propose a simple method
which for a source coding rate of 1 bit per sample allows 2n reconstruction values for a trellis with 2n states. The proposed method is based on the maximum a posteriori probability criterion distortion measure and it employs tailbiting. Simulation results are compared to TCQ-like methods.
Original languageEnglish
Title of host publicationProc., IEEE Data Compression Conf., Snowbird, UT
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Pages43-52
Number of pages10
ISBN (Print)0-7695-1896-6
DOIs
Publication statusPublished - 2003
EventIEEE Data Compression Conference - Snowbird, UT, United States
Duration: 2003 Mar 252003 Mar 27

Conference

ConferenceIEEE Data Compression Conference
Country/TerritoryUnited States
CitySnowbird, UT
Period2003/03/252003/03/27

Subject classification (UKÄ)

  • Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

  • minimum mean squared error
  • short data sequence
  • tail-biting BCJR algorithm
  • trellis coded quantization
  • TCQ-like method
  • alphabet-constrained rate-distortion theory
  • lossy source coding
  • data compression
  • trellis source coding
  • MAP criterion
  • maximum a posteriori
  • VA
  • tailbiting
  • Viterbi algorithm
  • MMSE

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