Presentation 2000/7/12
An Investigation of Comparing Markov Models with System Composed of Logistic Mapping and a Threshold Function
Tadakazu SAKAKURA, Akira HAYASHI,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) It is stimulating to decide whether a system, composed of the logistic map with parameter b and a threshold function with θ, can be considered to be a simple stochastic model, or not.The parameters of such system are not well known except for several values of parameters.In this paper, we made statistical tests, such as poker tests and frequency tests of the walk length in random walk in order to compare chaotic binary sequences with binary sequenses generated from markov models.We conclude that only binary sequences with b=4.0, andθ=0.5, 0.75can be regarded as binary equnes generted from markov models.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) chaotic sequence / logistic map / markov model / statistical test
Paper # CAS2000-44,NLP2000-52
Date of Issue

Conference Information
Committee CAS
Conference Date 2000/7/12(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Circuits and Systems (CAS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) An Investigation of Comparing Markov Models with System Composed of Logistic Mapping and a Threshold Function
Sub Title (in English)
Keyword(1) chaotic sequence
Keyword(2) logistic map
Keyword(3) markov model
Keyword(4) statistical test
1st Author's Name Tadakazu SAKAKURA
1st Author's Affiliation Graduate School of Information and Computer Engineering, Kanazawa Institute of Technology()
2nd Author's Name Akira HAYASHI
2nd Author's Affiliation Graduate School of Information and Computer Engineering, Kanazawa Institute of Technology
Date 2000/7/12
Paper # CAS2000-44,NLP2000-52
Volume (vol) vol.100
Number (no) 202
Page pp.pp.-
#Pages 7
Date of Issue