小波萎缩法去噪

Denoising Using Wavelet Shrinkage

通过利用软、硬阈值函数和比例萎缩LAWML法对高斯白噪声去噪比较研究,数值算例表明软阈值函数去噪效果最好,而且其效果与小波变换分解层有关。

This paper compares three methods such as soft-threshold function and hard-threshold function and LAWML for signals corrupted by white noise. Numerical experiments show that soft-threshold function is the most efficient. And their effect is related to the decompose level of wavelet transform.