Robust filter algorithm based on wavelet
一种具有鲁棒性的基于小波变换的滤波方法

This paper studies mainly different properties of non-stationary signals and different kinds of noise under wavelet transformation, and presents a novel algorithm based on wavelet transformation and order statistic filter to attenuate noises. The algorithm attenuates the noise by choosing local threshold through the relativity property between different wavelet transformations with different scales, the different properties of different noises under wavelet transform and the order statistical theory. The simulation experiments show that the algorithm has good property for different kinds of noise.