Title :
An improved wavelet threshold de-noising method and its application
Author :
Ce, Ji ; Xue-liang, Lu ; Bao-cheng, Tang
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In order to improve effect of weak signal de-noising, an improved threshold de-noising function based on the characteristics of soft-threshold function and hard-threshold function which are used to estimate wavelet coefficients is proposed in this paper. This new function can obtain better threshold, which is between the hard threshold and soft threshold by adjusting the parameters. It not only overcomes the disadvantage of the segmentation of hard-threshold function effectively, but also solves the constant deviation and discontinuous derivative of soft-threshold function. The simulation results demonstrate the effectiveness of the algorithm.
Keywords :
signal denoising; wavelet transforms; hard-threshold function; improved wavelet threshold de-noising method; soft-threshold function; wavelet coefficients; weak signal de-noising; Educational institutions; Noise reduction; Signal to noise ratio; Wavelet coefficients; RMSE; SNR; de-noising; hard-threshold function; soft-threshold function; wavelet; weak signal;
Conference_Titel :
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location :
Taiyuan
Print_ISBN :
978-1-4577-2073-4
DOI :
10.1109/CCDC.2012.6244149