Title :
Wavelet based De-noising of pulse signal
Author :
Rui Guo ; Yiqin Wang ; Jianjun Yan ; Fufeng Li ; Haixia Yan
Author_Institution :
TCM Syndrome Lab., Shanghai Univ. of TCM, Shanghai
Abstract :
This paper discussed the principle and method of Wavelet De-noising, reduced noise of pulse signal based on wavelet. It is shown that wavelet de-noising can eliminate most noise, and preserve effectively sudden change of signal. This paper analyzed and compared the effect of de-noising of pulse signal in different ways and means, in different kinds of wavelet basis and different kinds of threshold. All study shows de-noising of pulse signal based on wavelet have practical value.
Keywords :
signal denoising; wavelet transforms; noise elimination; pulse signal denoising; wavelet based denoising; Low-frequency noise; Mechatronics; Noise reduction; Pulse measurements; Signal analysis; Signal processing; Time frequency analysis; Wavelet analysis; Wavelet coefficients; Wavelet transforms;
Conference_Titel :
IT in Medicine and Education, 2008. ITME 2008. IEEE International Symposium on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-3616-3
Electronic_ISBN :
978-1-4244-2511-2
DOI :
10.1109/ITME.2008.4743939
