RUS  ENG
Full version
JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2019 Issue 7, Pages 122–133 (Mi at15302)

This article is cited in 3 papers

Intellectual Control Systems, Data Analysis

A search method for unknown high-frequency oscillators in noisy signals based on the continuous wavelet transform

I. V. Shcherban, N. E. Kirilenko, S. O. Krasnikov

Southern Federal University, Rostov-on-Don, Russia

Abstract: We propose a method for finding a priori undefined structures of unknown temporal fluctuations for frequency oscillators of various intensities as part of the output signals of synchronized dynamical systems. Unlike traditional approaches, the developed method is based on the continuous wavelet transform of the observed signal and is efficient in cases when frequency characteristics of the desired pattern are close to the noise characteristics of the output signal.

Keywords: continuous wavelet transform, wavelet entropy, pattern.

Presented by the member of Editorial Board: V. I. Vasil'ev

Received: 03.02.2017
Revised: 03.01.2019
Accepted: 07.02.2019

DOI: 10.1134/S0005231019070055


 English version:
Automation and Remote Control, 2019, 80:7, 1279–1287

Bibliographic databases:


© Steklov Math. Inst. of RAS, 2024