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LMS-RLSAdaptiveFilter

于 2011-01-15 发布 文件大小:1KB
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  数字信号处理,LMS和RLS实例:给定正弦信号s(n),现在我们获得得是受影响的数据x(n)=s(n)+v(n) , v(n)为方差1.25的告示白噪声信号,请设计一个滤波器,使其输出与s(n)的均方误差最小,并给出用LMS和RLS算法的自适应求解方法的MATLAB仿真。(Digital signal processing, LMS and RLS instance: Given a sinusoidal signal s (n), now we get the data have affected x (n) = s (n)+ v (n), v (n) 1.25 for the variance Notice the white noise signal, to design a filter so that the output and s (n) The minimum mean square error, and gives the algorithm with the LMS and RLS adaptive method for solving the MATLAB simulation.)

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