Title :
Research of Signal Denoising Algorithm Based on Wavelet Threshold
Author :
Liu Wen-bo ; Jiang Li-bo ; Wang Meng-xiao
Author_Institution :
Coll. of Electr. & Inf. Eng., Shaanxi Univ. of Sci. & Technol., Xi´an
Abstract :
To overcome the shortcomings of hard threshold method and soft threshold method of wavelet threshold based signal denoising, a new threshold function is presented in this paper. This function combines hard threshold function and soft threshold function, which has good mathematical properties and physical significance. It can be used in various cases of denoising by selecting suitable parameters. Simulation results and comparative studies show that this method is superior to the hard threshold method and soft threshold method, and it has obvious effect on signal denoising.
Keywords :
signal denoising; wavelet transforms; hard threshold method; signal denoising algorithm; soft threshold method; wavelet threshold; Discrete wavelet transforms; Educational institutions; Gaussian noise; Noise level; Noise reduction; Signal denoising; Signal processing; Wavelet coefficients; Wavelet domain; Working environment noise;
Conference_Titel :
Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3893-8
Electronic_ISBN :
978-1-4244-3894-5
DOI :
10.1109/IWISA.2009.5073050