DocumentCode :
2801199
Title :
An Algorithm of Signal De-noising by Using Wavelet Analysis
Author :
Chen, Dongming ; Zhu, Zhiliang ; Chang, Guiran
Author_Institution :
Software Coll., Northeastern Univ., Shenyang
Volume :
3
fYear :
2006
fDate :
16-18 Oct. 2006
Firstpage :
51
Lastpage :
55
Abstract :
A new algorithm of signal de-noising by using wavelet analysis is provided in this paper. Owing to the different singularities of the signal and noise, the local maxima of their dyadic wavelet transform modulus are different too. According to the multi-scale behaviors of wavelet transform of signal and random noise, the algorithm of signal de-noising based on wavelet analysis is proposed. Experiments show the proposed algorithm improved the signal-to-noise ratios of the de-noised signals. The de-noised signals have smooth and nice visual appearance
Keywords :
signal denoising; wavelet transforms; dyadic wavelet transform; multiscale behavior; random noise; signal denoising; wavelet analysis; wavelet transform modulus; Algorithm design and analysis; Noise reduction; Signal analysis; Signal denoising; Signal detection; Signal processing; Signal processing algorithms; Software algorithms; Wavelet analysis; Wavelet transforms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
Type :
conf
DOI :
10.1109/ISDA.2006.9
Filename :
4021857
Link To Document :
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