October 16, 2021
Farbod Setoudeh

Farbod Setoudeh

Degree: Assistant professor
Address:
Education: Ph.D in electrical engineering
Phone: 33400222
Faculty: Department Of Electrical Engineering

Research

Title A Novel Method for Chaos Detection in Heavy Noisy Environments Based on Distribution of Energy
Type Article
Keywords
chaos, noise
Journal INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
DOI http://dx.doi.org/10.1142/S0218127419501797
Researchers Farbod Setoudeh (First researcher) , Ali Khaki Sedigh (Second researcher) , mohsen najafi (Third researcher)

Abstract

Detecting chaos in heavy-noise environments is an important issue in many fields of science and engineering. In this paper, first, a new criterion is proposed to recognize chaos from noise based on the distribution of energy. Then, a new method based on stationary wavelet transform (SWT) is presented for chaos detection that is recommended for data that contain more than 60% noise. This method is dependent on the distribution of signal’s energy in different frequency bands based on SWT for chaos detection which is robust to noisy environments. In this method, the effect of white noise and colored noise on the chaotic system is considered. As a case study, the proposed method is applied to detect chaos in two different oscillators based on memristor and memcapacitor. The simulation results are used to display the main points of the paper.