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

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ASJC Scopus subject areas

  • Engineering(all)

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