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LMS_RLS_sim

于 2010-07-11 发布文件大小:1KB

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功能描述：测试LMS与RLS算法，比较两种算法的收敛特性文件名：LMS_RLS_sim.m 测试用例： x(n)+a1*x(n-1)+a2*x(n-2)=e(n)，a1=-1.6,a2=0.81,e(n)为高斯白噪声文件输出：系数a1的值调用函数：function [A] = LMS_Algo(M,N,mu,xn) 被调用：无作者：mingcheng 编写时间：2009-10-13 修改时间：2009-10-13 版本：V1.0 ( Function Description: Test LMS and RLS algorithm, the convergence characteristics were compared file name: LMS_RLS_sim.m test case: x (n)+ a1* x (n-1)+ a2* x (n-2) = e (n), a1 =- 1.6, a2 = 0.81, e (n) is Gaussian white noise file output: the value of coefficient a1 call the function: function [A] = LMS_Algo (M, N, mu, xn) is called: No of: mingcheng write time :2009-10-13 modified :2009-10-13 version: V1.0 )

文件列表：

LMS_RLS_sim.m,1775,2010-07-11

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