Abstract: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 transformation with different scales, the different properties of different noises under wavelet transform and the order statistical theory. The simulation experiments show that that the algorithm has good property for different kinds of noise.