DocumentCode :
468908
Title :
Research on de-noising of pulse signal based on fuzzy threshold in wavelet packet domain
Author :
Song, Su ; Qi, Yan-yan ; Jun-fei Qiao
Author_Institution :
Beijing Univ. of Technol., Beijing
Volume :
1
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
103
Lastpage :
106
Abstract :
As a premise of the research of pulse diagnoses objectivity, de-noising of the pulse signal is very important To avoid the signal distortion and missing of characteristics, this paper applies fuzzy theory to de-noising, which is based on wavelet packet threshold, and confirms the upper and lower limits of the threshold and then chooses a parabola function from zero to one as the membership function. Simulations show that, comparing with the method of heavy threshold this method makes the de-noised pulse signal be smoother and save more characteristics.
Keywords :
distortion; fuzzy set theory; signal denoising; wavelet transforms; fuzzy theory; fuzzy threshold; membership function; parabola function; pulse diagnosis objectivity; pulse signal denoising; signal distortion; wavelet packet threshold; Noise reduction; Notice of Violation; Pattern analysis; Pattern recognition; Wavelet analysis; Wavelet domain; Wavelet packets; de-noising; fuzzy threshold; pulse signal; wavelet packet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4420645
Filename :
4420645
Link To Document :
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