DocumentCode
3457819
Title
Multi-Scale and Multi-Threshold Denoising Algorithm Based on the Best Wavelet Packet Basis
Author
Huang, Yongdong ; Ye, Chongyuan
Author_Institution
Inst. of Inf. & Syst. Sci., North Univ. for Nat., Yinchuan, China
fYear
2010
fDate
21-23 Oct. 2010
Firstpage
1
Lastpage
5
Abstract
A multi-scale and multi-threshold denoising method based on the best wavelet packet basis and a new threshold function are put forward, which is based on the wavelet packet transform and the traditional threshold denoising method .Some faults of orthogonal wavelet transform can be overcome via using wavelet packet transform. The simulation experiments for Droppler signals show that the new threshold function can suppress the white noise effectively, it is better than the classical hard, soft and a improved threshold function referred to [6] denoising methods in the visual effect and SNR and MSE. Thus, it has high practical value in signal denoising.
Keywords
signal denoising; wavelet transforms; white noise; Droppler signal; MSE; SNR; multithreshold denoising algorithm; orthogonal wavelet transform; signal denoising; threshold denoising method; threshold function; visual effect; wavelet packet transform; white noise suppression; Electronic mail; MATLAB; Noise reduction; Signal to noise ratio; Wavelet packets;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition (CCPR), 2010 Chinese Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-7209-3
Electronic_ISBN
978-1-4244-7210-9
Type
conf
DOI
10.1109/CCPR.2010.5659236
Filename
5659236
Link To Document