一种改善的利用小波变换消除信号噪声的方法

A new application of wavelet transform in signal denoising

传统的建立在傅立叶变换基础上的滤波方法在提高信噪比和时空分辨率两项指标上存在矛盾 .与之相比，基于小波变换的滤波去噪技术有明显优点 .首先介绍连续小波变换的理论基础并对去噪阈值的设定进行了讨论，然后提出一种利用信号与噪声的小波变换不同性质进行去噪的方法，最后给出并讨论了该方法的仿真结果 .

In this paper, on the basis of different energy of signal edges and noises, a new denoising approach adopting a wavelet transform mask filter is presented. Then we use the filter to process the signal data and restore the signal with the results. At last, a computer simulation experiment is given to evaluate the new approach.