噪声对信号的分析和压缩有重要的影响 .传统的滤波方法常常面临着从频率响应函数中求解最优解的困难 .本文利用文献 [1]的结论证明了脉冲响应函数都可以用模糊模型来逼近 ,使得模糊滤波成为可能 .为获得对噪声信号高效率的模拟 ,利用α稳定型代替高斯型 ,并用序优化的手段克服了求解中必然面临的解一个高度非线性最优化问题的困难 .分析和模拟表明 ,该算法可以有效地节约计算时间 ,为模糊系统应用于滤波提供了一种新思路 . Noise has an important influence on signal analysis and compression.Traditional filtering methods are often faced with the difficulty of finding the optimal solution from the frequency response function.In this paper, the conclusions of the literature [1] prove that the impulse response function can be used to fuzzy model Approximation makes the fuzzy filtering possible.In order to obtain the high efficiency of the noise signal simulation, the use of α-stable instead of Gaussian type, and the use of order optimization method to overcome the inevitable solution of a solution to a highly nonlinear optimization problems. Simulation results show that the proposed algorithm can effectively save computational time and provide a new idea for the application of fuzzy system in filtering.