BOUND ON PREDICTOR MISADJUSTMENT IN ADPCM.

Khalid Sayood, D. C. Farden

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

Differential PCM with backward adaptive prediction is a popular technique for data compression. Because of the presence of the quantizer in the feedback loop, the adaptation process has been difficult to analyze. The authors present a bound on the predictor misadjustment and obtain some easily verifiable conditions for convergence of the bound.

Original languageEnglish (US)
Pages (from-to)1336-1339
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
StatePublished - Jan 1 1987

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Pulse code modulation
Data compression
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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

BOUND ON PREDICTOR MISADJUSTMENT IN ADPCM. / Sayood, Khalid; Farden, D. C.

In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 01.01.1987, p. 1336-1339.

Research output: Contribution to journalConference article

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