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
Link To Document :
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