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横向滤波器是数字信号处理中常用的滤波器结构,求解横向滤波器抽头系数的自适应算法主要有最陡梯度(Steepest Gradient)算法、最小均方(LMS)算法、递归最小均方(RLS)算法,前者只具有理论分析意义,后两种是实用的算法。本文比较了上述三种算法的优缺点,并给出了性能分析。
Abstract：The transverse filter is the common filter structure used in digital signal processing system, the adaptive algorithm for filter tap coefficient calculation contains steepest gradient algorithm, LMS algorithm and RLS algorithm. This paper discusses the advantage and disadvantage of the three algorithms above-mentioned and gives the performance analysis.
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基本信息:
中图分类号:TN713
引用信息:
[1]翟莉,谷平反.横向滤波器的自适应算法研究[J].无线电工程,2006(04):44-46.
2006-04-05
2006-04-05