Research on Wavelet Denoising for Pulse Signal Based on Improved Wavelet Thresholding
Fengxiang Chang, Wenxue Hong, Tao Zhang, Jun Jing, Xulong Liu · 2010
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.