DocumentCode
2667238
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
fYear
2012
fDate
23-25 May 2012
Firstpage
950
Lastpage
953
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244149
Filename
6244149
Link To Document