Title :
Research on Wavelet Denoising for Pulse Signal Based on Improved Wavelet Thresholding
Author :
Chang, Fengxiang ; Hong, Wenxue ; Zhang, Tao ; Jing, Jun ; Liu, Xulong
Author_Institution :
Biomed. Eng. Dept., Yanshan Univ., Qinhuangdao, China
Abstract :
Pulse signal is the non-stationary random signal, the signal denoising is an important task before analyzing it. Based on wavelet thresholding denoising method presented by Donoho, a new compromising threshold function is proposed. Compared with classical thresholding denoising methods, it overcomes the discontinuity of the hard-thresholding method and reduces the fixed deviation between the estimated wavelet coefficients and the decomposed wavelet coefficients of the soft thresholding method. The experiment results show that the improved method gives better Signal to Noise Ratio (SNR) and Mean Square Error (MSE) than the soft-thresholding method, hard-thresholding method and the standard compromising method between them.
Keywords :
mean square error methods; medical signal processing; signal denoising; wavelet transforms; Donoho; classical thresholding denoising method; decomposed wavelet coefficient; hard thresholding method; mean square error; nonstationary random signal; pulse signal; signal denoising; signal to noise ratio; soft thresholding method; threshold function; wavelet denoising; wavelet thresholding; Equations; Noise reduction; Signal denoising; Signal to noise ratio; Wavelet coefficients; pulse signal; threshold function; wavelet denoising;
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.2010.142
