APPLICATIONS OF PROCESS DISTORTION MEASURES TO PREDICTOR MISMATCH PROBLEMS AND CODING.

Yasuo Matsuyama

Research output: Contribution to journalArticle

Abstract

Linear least-square predictor mismatch problems are discussed as applications of stochastic process distortion measures. Linear predictor coding is also discussed in conjunction with distortion measures. First, nondeterministic and purely nondeterministic processes are defined and purely nondeterministic processes are expressed by autoregressive models. Then, ″robustness″ is defined when there exists mismatch between one-step predictor and true information source.

Original languageEnglish
Pages (from-to)28-36
Number of pages9
JournalElectronics & communications in Japan
Volume62
Issue number12
Publication statusPublished - 1981 Dec
Externally publishedYes

Fingerprint

Random processes

ASJC Scopus subject areas

  • Engineering(all)

Cite this

APPLICATIONS OF PROCESS DISTORTION MEASURES TO PREDICTOR MISMATCH PROBLEMS AND CODING. / Matsuyama, Yasuo.

In: Electronics & communications in Japan, Vol. 62, No. 12, 12.1981, p. 28-36.

Research output: Contribution to journalArticle

@article{8a9ad5c85e924909bf60b35710752307,
title = "APPLICATIONS OF PROCESS DISTORTION MEASURES TO PREDICTOR MISMATCH PROBLEMS AND CODING.",
abstract = "Linear least-square predictor mismatch problems are discussed as applications of stochastic process distortion measures. Linear predictor coding is also discussed in conjunction with distortion measures. First, nondeterministic and purely nondeterministic processes are defined and purely nondeterministic processes are expressed by autoregressive models. Then, ″robustness″ is defined when there exists mismatch between one-step predictor and true information source.",
author = "Yasuo Matsuyama",
year = "1981",
month = "12",
language = "English",
volume = "62",
pages = "28--36",
journal = "Electronics and Communications in Japan",
issn = "0424-8368",
publisher = "Scripta Pub Co.",
number = "12",

}

TY - JOUR

T1 - APPLICATIONS OF PROCESS DISTORTION MEASURES TO PREDICTOR MISMATCH PROBLEMS AND CODING.

AU - Matsuyama, Yasuo

PY - 1981/12

Y1 - 1981/12

N2 - Linear least-square predictor mismatch problems are discussed as applications of stochastic process distortion measures. Linear predictor coding is also discussed in conjunction with distortion measures. First, nondeterministic and purely nondeterministic processes are defined and purely nondeterministic processes are expressed by autoregressive models. Then, ″robustness″ is defined when there exists mismatch between one-step predictor and true information source.

AB - Linear least-square predictor mismatch problems are discussed as applications of stochastic process distortion measures. Linear predictor coding is also discussed in conjunction with distortion measures. First, nondeterministic and purely nondeterministic processes are defined and purely nondeterministic processes are expressed by autoregressive models. Then, ″robustness″ is defined when there exists mismatch between one-step predictor and true information source.

UR - http://www.scopus.com/inward/record.url?scp=0019690015&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0019690015&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:0019690015

VL - 62

SP - 28

EP - 36

JO - Electronics and Communications in Japan

JF - Electronics and Communications in Japan

SN - 0424-8368

IS - 12

ER -