Title :
Higher-order within chaos
Author :
Flandrin, Patrick ; Michel, Olivier
Author_Institution :
Lab. de Phys., Ecole Normale Superieure de Lyon, France
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;
Conference_Titel :
Higher-Order Statistics, 1993., IEEE Signal Processing Workshop on
Conference_Location :
South Lake Tahoe, CA, USA
Print_ISBN :
0-7803-1238-4
DOI :
10.1109/HOST.1993.264548
