DocumentCode :
436971
Title :
Sinusoidal signal extraction from chaotic background using wavelet packet transform
Author :
Kaiyan Zhu ; Wang, Shxun
Author_Institution :
Inst. of Commun. Eng., Jilin Univ., Changchun, China
Volume :
1
fYear :
2004
fDate :
31 Aug.-4 Sept. 2004
Firstpage :
176
Abstract :
In this paper, we propose a novel signal extraction algorithm from chaotic background using wavelet packet transform (WPT). It has been proved that many nature signals can be modeled as chaos. So, extracting the signals from the chaotic background is very important. Classification features of chaos are often localized both in time and frequency, so extracting the signals form them by general transform methods is very difficult. WPT can provide an arbitrary time-frequency decomposition for the signals. Therefore, by selecting a suitable basis, the signals can be extracted. This paper is mainly concerned with sinusoidal signal extraction from Lorenz chaotic background. The performance of extraction by WPT is given in the paper.
Keywords :
signal classification; time-frequency analysis; wavelet transforms; chaotic background; general transform method; signal classification; sinusoidal signal extraction; time-frequency decomposition; wavelet packet transform; Background noise; Chaos; Frequency; Noise level; Noise reduction; Signal analysis; Signal processing; Signal processing algorithms; Wavelet packets; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2004. Proceedings. ICSP '04. 2004 7th International Conference on
Print_ISBN :
0-7803-8406-7
Type :
conf
DOI :
10.1109/ICOSP.2004.1452610
Filename :
1452610
Link To Document :
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