DocumentCode
2841390
Title
An improved method of detecting and de-noising by the modulus maxima of wavelet transform
Author
Hua, Li ; Wei, Cheng
Author_Institution
Sch. of Autom. & Electr. Eng., Lanzhou Jiao tong Univ., Lanzhou, China
fYear
2009
fDate
17-19 June 2009
Firstpage
5304
Lastpage
5308
Abstract
An improved de-noising method based on modulus maxima of wavelet transform is proposed. The theoretical calculation formula of noise variance at each scale and improved threshold method are proposed to realized the signal-noise separation. The results of simulation analysis of many non-stationary signal show that: the filtering accuracy can be significantly increased by the new method and the noise can be removed while the major details are remained well.
Keywords
signal denoising; signal detection; wavelet transforms; Lipschitz exponent; de-noising method; detecting method; modulus maxima; noise variance; nonstationary signal; signal-noise separation; wavelet transform; Analytical models; Automation; Filtering; Noise reduction; Signal analysis; Wavelet transforms; Lipschitz exponent; Modulus maxima; threshold; wavelet de-noising;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location
Guilin
Print_ISBN
978-1-4244-2722-2
Electronic_ISBN
978-1-4244-2723-9
Type
conf
DOI
10.1109/CCDC.2009.5195056
Filename
5195056
Link To Document