Presentation 1995/10/19
On Higher-Order Correlations of Chaotic Sequences
Anthony J. LAWRANCE, Akio TSUNEDA, Tohru KOHDA,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) One-dimensional maps are simplest systems that can display chaotic behavior. Recently there are several attempts to generate pseudo-random numbers using chaos. It is known that the ensemble-average technique is very useful in evaluating statistics of chaos under the assumption that the map is ergodic. In order to investigate randomness of chaotic sequences, we usually evaluate their auto-correlation functions. For several ergodic maps, it is known that the auto-correlation functions are equal to the delta function. In this paper, we evaluate quadratic correlations using the squared chaotic sequences as higher-order statistics through the Perron-Frobenius operator.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) chaos / pseudo-random number / nonlinear ergodic map / correlation function / Perron-Frobenius operator
Paper # NLP95-55
Date of Issue

Conference Information
Committee NLP
Conference Date 1995/10/19(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 Nonlinear Problems (NLP)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Higher-Order Correlations of Chaotic Sequences
Sub Title (in English)
Keyword(1) chaos
Keyword(2) pseudo-random number
Keyword(3) nonlinear ergodic map
Keyword(4) correlation function
Keyword(5) Perron-Frobenius operator
1st Author's Name Anthony J. LAWRANCE
1st Author's Affiliation School of Mathematics and Statistics, The University of Birmingham()
2nd Author's Name Akio TSUNEDA
2nd Author's Affiliation Department of Computer Science and Communication Engineering, Kyushu University
3rd Author's Name Tohru KOHDA
3rd Author's Affiliation Department of Computer Science and Communication Engineering, Kyushu University
Date 1995/10/19
Paper # NLP95-55
Volume (vol) vol.95
Number (no) 296
Page pp.pp.-
#Pages 4
Date of Issue