DocumentCode
745744
Title
Linear, Random Representations of Chaos
Author
Drake, Daniel F. ; Williams, Douglas B.
Author_Institution
Sch. of Medicine, Emory Univ., Atlanta, GA
Volume
55
Issue
4
fYear
2007
fDate
4/1/2007 12:00:00 AM
Firstpage
1379
Lastpage
1389
Abstract
Although there may be some disagreement as to the precise definition of chaos, it is generally characterized as a nonlinear, deterministic phenomenon. For a class of common chaotic systems, this paper introduces equivalent descriptions in the form of linear, time-invariant (LTI) systems with random inputs. Such models have many advantages as they are much better matched to traditional signal and system theory. The outputs of these LTI systems will be shown to be indistinguishable from the outputs of the corresponding chaotic systems. Specifically, for a given random input the LTI system will generate exactly the same output as the corresponding chaotic map with a certain initial condition
Keywords
IIR filters; chaos; discrete time systems; nonlinear dynamical systems; signal representation; IIR filters; chaos random representations; discrete-time chaotic dynamical systems; nonlinear modeling; random inputs; system theory; time-invariant systems; Chaos; Entropy; History; Kalman filters; Multiaccess communication; Orbits; Piecewise linear techniques; Random processes; Signal processing; Signal synthesis; Chaos; nonlinear modeling;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2006.888885
Filename
4133028
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