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采用正交基函数构造的自适应滤波器

Adaptive Filter Using Orthonormal Basis Functions
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摘要 针对有限脉冲响应滤波器(FIR)和无限脉冲响应滤波器(IIR)的缺点,该文提出一种正交基自适应滤波器.该滤波器引入正交函数理论,利用系统模型与正交基函数之间的关联,预先获取系统的先验信息,从而兼有FIR和IIR两者的优点.文中给出了正交基滤波算法的计算公式,并分析了正交基滤波器与传统滤波器的异同点,最后对正交基滤波器进行了仿真和实验.结果表明:本文的滤波算法有着较快的收敛速度,无需很长的抽头数就可获得良好的滤波效果. To enhance pertformance of traditional filters, an improved filter is proposed using orthonormal basis functions. The mathematical orthonormal function is introduced into the structure of filter. Prior information of the system is obtained by mapping the system model to orthonormal basis function. This is different from the present filters. Comparison between traditional filters and the orthogonal filter is made. Computation formulations of the new algorithm are given. Results of numerical simulation and the practical application to aircraft cabin noise rejection indicate that the new filter algorithm has fast convergenee and high stability with small number of tap-weight.
出处 《应用科学学报》 CAS CSCD 北大核心 2008年第5期516-520,共5页 Journal of Applied Sciences
基金 航空基金资助项目(No.05B52005)
关键词 自适应滤波 正交基函数 滤波器结构 滤波算法 飞机座舱 adaptive filtering, orthonormal functions, filter structure, filtering algorithm, aircraft cabin
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参考文献10

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