This paper addresses the problem of non-stationary signal noise suppression, represents the conception of wavelet transformation and puts forward two kinds of measurements to evaluate the effectiveness of noise suppression. Comparison experiments for noise suppression are made using Fourier analysis and Wavelet analysis. Simulation result shows that Wavelet analysis is more suitable for non-stationary analysis.


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    Title :

    Non-stationary Signal Noise Suppression Based on Wavelet Analysis


    Contributors:
    Qu, Wei (author) / Jia, Xin (author) / Pei, Shibing (author) / Wu, Jie (author)


    Publication date :

    2008-05-01


    Size :

    229723 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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