基于小波分析的信号噪声的处理

Denosing of signal based on wavelet analysis

分析了通信系统信号处理中噪声的小波分析特性,用一维小波分别对平稳信号和非平稳信号进行了分析和研究;提出了基于小波分析理论,利用小波变换对含噪信号进行小波分解,然后选取适当的阈值,对小波分解系数进行阈值量化,最后再对高低频系数重构,实现信号的降噪。并通过实例验证了小波分析方法对信号噪声处理的有效性。

The paper analyses the features of wavelet analysis in the signal noise processing, and then researches the stable and unsta- ble signals with one-dimensional wavelet, and it propose a method based on the theory of wavelet analysis, applies the wavelet transfor- mation of binary system to factorize the signal jammed by the noise, selects an appropriate threshold value to estimate the coefficient of the wavelet factorization, then it re-constructs the coefficient of the high and low frequency. In this way, it realizes the separation of effective way to remove the noise of signal. The experiment proves it effective.