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
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;
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
DOI :
10.1109/CCDC.2009.5195056