Title :
Time-Frequency Analysis Method of Harmonic Signal Extraction from Chaotic Background
Author :
Wang, Erfu ; Ma, Jing ; Ding, Qun
Author_Institution :
Key Lab. of Electron. Eng., Heilongjiang Univ., Harbin, China
Abstract :
The separation of chaos and signal is an important problem of chaos signal processing. In recent years, the time-frequency analysis method is more and more mature. This paper starts with the time-frequency character analysis of the chaotic signal, the noise and the harmonic signal. It also discusses the influence of the amplitude, frequency of harmonic signal and the signals to noise ratio (SNR) on the extraction performance from chaotic background. The wavelet method and empirical mode decomposition (EMD) method will use to realize the extraction of harmonic signal in different SNR and noise level. Computer simulation verified that the methods have high availability.
Keywords :
chaos; signal denoising; source separation; time-frequency analysis; wavelet transforms; chaos separation; chaos signal processing; empirical mode decomposition; harmonic signal extraction; signal separation; signals to noise ratio; time-frequency analysis method; wavelet method; Chaos; Harmonic analysis; Signal to noise ratio; Time frequency analysis; Wavelet analysis; Wavelet transforms; Chaos; Extraction; Harmonic Signal; Time-frequency Analysis; wavelet;
Conference_Titel :
Pervasive Computing Signal Processing and Applications (PCSPA), 2010 First International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-8043-2
Electronic_ISBN :
978-0-7695-4180-8
DOI :
10.1109/PCSPA.2010.281
