Short-Time Information Entropy as a Complexity Measure
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概要
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1/f fluctuation observed in many physical, chemical, or biological stochastic processes is expected to be the most efficient for producing "information", or to have the best capability of "computation". In order to measure the complexity of the information included implicitly in the fluctuation, we introduce a unit length of the time series of fluctuation based on a relaxation time of the correlation intensity and define the short-time information entropy of the unit time series. Simulation results show that the short-time information entropy of the 1/f fluctuation is the maximum among f^<-v>(0<v<2) fluctuations.
- 社団法人応用物理学会の論文
- 1998-11-15
著者
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Agu Masahiro
Department Of Media And Telecommunications Engineering Faculty Of Engineering Ibaraki University
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Agu Masahiro
Department Of Electronics Faculty Of Engineering Ibaraki University
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Yamada Mitsuhiro
Department Of Media And Telecommunications Engineering Faculty Of Engineering Ibaraki University
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Yamada Mitsuhiro
Departmellt Of Biology C:ollegc Of Gencral Educatioll Universsity Of Tokyo
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Agu Masahiro
Department Of Electrical And Electronic Engineering Ibaraki University
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