Abstract: In a signal，singularities and irregular structures usually take some important information，and wavelet transform is an efficient tool for detecting singularities and edges.In this paper ，according to the range of the cone of influence of singularities and the properties of maxima propagation in wavelet transform domain，a new denoising algorithm is put forward to denoise and preserve the original character of a signal，to seek the wavelet coefficients which are in the cone of influence of each singularity and dispose such wavelet coefficients.The result of experiment shows that the new algorithm implements easily and has better denoising performance.

摘要： 信号的奇异点和不规则结构往往携带了一些重要的信息，而小波变换是检测信号奇异点和跳变沿的一种有效的工具。为了更好地从噪声污染的信号中消除干扰和保留信号原始特征，根据奇异点影响锥的范围和小波域模极大值线传播特性，提出了一种新的算法来寻找奇异点影响锥内的小波系数，并进行去噪处理。仿真实验表明：与传统的阈值去噪方法相比，该算法实现简单并且有着更好的滤波性能。