| 基于广义最小均方的自适应递归滤波算法 |
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| 引用本文： | 曾凡鑫.基于广义最小均方的自适应递归滤波算法[J].通信学报,1992,13(6):112-118. |
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| 作者姓名： | 曾凡鑫 |
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| 作者单位： | 重庆通信学院 重庆 |
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| 摘 要： | 本文提出了一种广义最小均方(GLMS)算法,分析了GLMS算法的性能,并根据GLMS算法,导出一种自适应递归滤波(ARF)算法。在推导中,ARF算法避开了超稳定定理,从而考虑自适应系统的严格正实条件和Popov不等式是不必要的。计算机模拟表明ARF算法具有很高的收敛速度。
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| 关 键 词： | 滤波器 均方算法 自适应滤波 算法 |
Adaptive Recursive Filter Algorithm Using Generalized Least Mean Square Algorithm |
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| Zeng Fanxin.Adaptive Recursive Filter Algorithm Using Generalized Least Mean Square Algorithm[J].Journal on Communications,1992,13(6):112-118. |
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| Authors: | Zeng Fanxin |
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| Affiliation: | Chongqing Institute of Communication |
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| Abstract: | A generalized least mean square(GLMS) algorithm is proposed, and its performance is discussed.An adaptive recursive filter algorithm is obtained by GLMS.In derivation for the adaptive algorithm, hy-perstable theory is not used, it's not necessary for considering strictly positive real condition and Popov inequation in the adaptive system. The computer simulation shows that there is a high convergent speed in the adaptive algorithm. |
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| Keywords: | Generalized least mean square algorithm Adaptive recursive filter algorithm Convergent speed |
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