DocumentCode
3510830
Title
Higher-order within chaos
Author
Flandrin, Patrick ; Michel, Olivier
Author_Institution
Lab. de Phys., Ecole Normale Superieure de Lyon, France
fYear
1993
fDate
1993
Firstpage
295
Lastpage
303
Abstract
Although deterministic in nature, some nonlinear systems may give rise to random-like signals. This situation, which is referred to as chaos, offers a new perspective in signal modeling and new challenges in signal analysis. The purpose of the paper is to briefly introduce key concepts related to chaos and to point out how higher-order based approaches may prove useful in the context of chaotic signal analysis.
Keywords
chaos; random processes; signal processing; analysis; chaos; chaotic signal analysis; nonlinear systems; random-like signals; signal modeling; Chaos; Higher order statistics; Linear systems; Signal analysis; Signal processing; Signal processing algorithms; Statistical analysis; Steady-state; Stochastic processes; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location
South Lake Tahoe, CA, USA
Print_ISBN
0-7803-1238-4
Type
conf
DOI
10.1109/HOST.1993.264548
Filename
264548
Link To Document