Title :
Improved Algorithm for Denoising Based on Wavelet Threshold and Performance Analysis
Author :
Liyuan, Ma ; Yonggang, Duan ; Yongjun, Li ; Tianhui, Wang
Author_Institution :
Mech. Eng. Coll., Shijiazhuang, China
Abstract :
A new threshold denoising method is presented in this paper, which is based on the soft and hard-threshold denoising method and named by `high-order approach method´. This method is flexible and extensively applicable. The principle and applicability of the new method is analyzed. Two common signals in Matlab are chosen to compare the denoising effect between the new method and others. The result shows that the new method has better denoising effect and higher SNR.
Keywords :
signal denoising; wavelet transforms; Matlab; hard threshold denoising method; high order approach method; improved algorithm; soft threshold denoising method; wavelet threshold denoising method; Noise reduction; Signal to noise ratio; Wavelet analysis; Wavelet coefficients; denoising; threshold value; wavelet analysis;
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.2010.144
