A Search Method for Unknown High-Frequency Oscillators in Noisy Signals Based on the Continuous Wavelet Transform
| Autor: | Nikolay E. Kirilenko, Igor V. Shcherban, S. O. Krasnikov |
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| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Dynamical systems theory Computer science Noise (signal processing) 010102 general mathematics 02 engineering and technology 01 natural sciences Signal 020901 industrial engineering & automation Control and Systems Engineering A priori and a posteriori 0101 mathematics Electrical and Electronic Engineering Algorithm Continuous wavelet transform |
| Zdroj: | Automation and Remote Control. 80:1279-1287 |
| ISSN: | 1608-3032 0005-1179 |
| DOI: | 10.1134/s0005117919070051 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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