DocumentCode :
2157083
Title :
Harmonic-Wavelet and Approximate-Entropy Extracted Weak Noise
Author :
Song, Wanqing ; Yue, Yan
Volume :
4
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
280
Lastpage :
284
Abstract :
The objective of this paper is to introduce Newland Harmonic wavelets and Pincus (1991) approximate entropy are applied to extract weak cycle jumps. Because some weak vibration signals contained strong noises are very important for fault forecast. Based on harmonic wavelet mesh plot of the vibration signals, we can induce contours of the mesh map with log space, then, we offer the time-frequency profile plot from the mesh map. This time-frequency profile plot is corresponding to decompose level on harmonic wavelets. Final, by computing approximately entropy in each level time-frequency profile plot, the weak cycle signal can be easily extracted from strong noise.
Keywords :
Bandwidth; Discrete wavelet transforms; Educational institutions; Entropy; Fourier transforms; Noise level; Signal processing; Signal resolution; Time frequency analysis; Wavelet transforms; approximate entropy; frequency map; harmonic wavelet; mesh profile plot; singularity signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.308
Filename :
4566660
Link To Document :
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