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 Descr iption: 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