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An Algorithm of Signal De-noising by Using Wavelet Analysis
Jinan, China October 16-October 18
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ISDA.2006.9Sixth International Conference on Int ...
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Dongming Chen, Northeastern University, China
Zhiliang Zhu, Northeastern University, China
Guiran Chang, Northeastern University, China
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.
Citation:
Dongming Chen, Zhiliang Zhu, Guiran Chang, "An Algorithm of Signal De-noising by Using Wavelet Analysis," isda, vol. 3, pp.51-55, Sixth International Conference on Intelligent Systems Design and Applications (ISDA'06) Volume 3, 2006
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