Wavelet-Based Multiresolution Analysis to Noise Elimination
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TP391

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    Abstract:

    The wavelet transform is a new subject developed quickly in the past ten years Compared with Fourier transform and Gabor transform, the wavelet transform is a part of time-frequency transform, so the message can be obtained from the signals effectively. By means of the fractionized multiresolution analysis to the signals, many problems unalbe to be solved by Fourier tranform have been solved in this way.Based on the fact that the maxima of the noise wavelet transform reduces dramatically with the increase of the scale, we obtain the result that this way is more advanced than the Fourier transform multiresolution analysis to the noise elimination.

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石为人 罗雪松 等.基于小波多分辨率分析的信号消噪[J].重庆大学学报,2002,25(6):59~62

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  • Revised:January 18,2002
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