摘要
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 effect on signal analysis and signal compression. Classical filters usually are confront with a difficulty extracting an optimal solution form the impulse response function. The consistency is proposed between fuzzy system and impulse response function by the paper. The result shows it is possible that a fuzzy filter for a signal system carries out a filtering process. To obtain a more effective simulation, α stable curves are substituted for Guess curves by the method of ordinal optimization so that the difficulty is overcome on extracting an optimal solution from the impulse response function. After analyzing and simulating, the conclusion is decided that the arithmetic can save the computing time and raise the efficiency.
出处
《浙江大学学报（工学版）》
EI
CAS
CSCD
北大核心
2002年第3期343-346,共4页
Journal of Zhejiang University：Engineering Science
基金
国家自然科学基金资助项目 (6993 45 67)
