A filtering method based on wavelet transform with local maximum value was discussed. The method could distinguish signal from the noise according to the different features of scale change.
小波变换局部极大值滤波方法利用信号与噪声不同的尺度变化特性来区分信号与噪声，将噪声从信号中分离出来。
Based on the discussion of the theory of wavelet transform of images, a practical multi scale edge detecting method is put forward and the ways to suppress noise interference are discussed.
在对图像的小波变换原理讨论的基础上，提出了一种较为实用的图像多尺度边缘检测方法，同时对如何抑制噪声的干扰进行了讨论。
Based on different properties of the coefficient modulus of the signal in different scale wavelet transform, conjunction the best estimate of gradient algorithm an edge detecting method is proposed.
基于信号在不同尺度下小波变换系数模不同的变化特征，结合最优梯度估计算法提出了一种边缘检测方法。
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