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matlab实现系统辨识 采用LMS（最小均方误差）估计 随机信号均值为0方差为1，加入高斯白噪声-matlab for system identification using LMS (least mean square error) estimation of random signal with mean 0 variance 1, by adding Gaussian white noise
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应用LMS算法，用Matlab编程实现系统识别.-Application of LMS algorithm, using Matlab programming system identification.
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System identification with adaptive filter using full and partial-update Least-Mean-Squares -System identification with adaptive filter using full and partial-update Least-Mean-Squares
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These are codes for system identification using various algorithm like LMS,RLS,PSO+FLA-These are codes for system identification using various algorithm like LMS,RLS,PSO+FLANN
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