A maximum entropy criterion of filtering and coding for stationary autoregressive signals: Its physical interpretations and suggestions for its application to neural information transmission

DOI10.1007/BF00449592zbMath0576.92015WikidataQ42109907 ScholiaQ42109907MaRDI QIDQ1064982

Kojiro Aya, Hiroshi Nakahama, Hisashi Fujii

Publication date: 1985

Published in: Biological Cybernetics (Search for Journal in Brave)

zbMATH Keywords

convolutionfilteringdecodingwhite noisedeconvolutionencodingmaximum entropy criterionfeedback systemautoregressive model of information transmissioncontinuous communication systemGaussian signal processingpower transmission in thermodynamics

Mathematics Subject Classification ID

Inference from stochastic processes and prediction (62M20) Measures of information, entropy (94A17) Statistical aspects of information-theoretic topics (62B10) Coding theorems (Shannon theory) (94A24) Other natural sciences (mathematical treatment) (92F05) Physiological, cellular and medical topics (92Cxx)

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