Analysis of differential PCM

Khalid Sayood

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

5 Scopus citations

Abstract

The usual assumption in the analysis of DPCM systems is that the predictor is, at least initially, matched to the source. In this paper we analyze the DPCM system without that assumption. Assuming that the source is an AR process of unknown order we obtain statistical descriptions of the prediction error residuals. Using these descriptions we obtain a simple expression for the Signal-to-Prediction Error Ratio (SPER) and the noiseless channel signal to noise ratio (SNR) for both the case where the predictor is matched to the source and the case where the predictor is not matched to the source. This formulation points out some interesting interactions between the predictor and the quantizer.

Original languageEnglish (US)
Title of host publicationConference Record - 19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985
EditorsDonald E. Kirk
PublisherIEEE Computer Society
Pages218-222
Number of pages5
ISBN (Electronic)0818607297
DOIs
StatePublished - 1985
Event19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985 - Pacific Grove, United States
Duration: Nov 6 1985Nov 8 1985

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Conference

Conference19th Asilomar Conference on Circuits, Systems and Computers, ACSSC 1985
Country/TerritoryUnited States
CityPacific Grove
Period11/6/8511/8/85

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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