LMS算法
最小均方算法，简称LMS算法，是一种最陡下降算法的改进算法，是在维纳滤波理论上运用速下降法后的优化延伸，最早是由Widrow和Hoff提出来的。该算法不需要已知输入信号和期望信号的统计特征，“当前时刻”的权系数是通过“上一时刻”权系数再加上一个负均方误差梯度的比例项求得。其具有计算复杂程度低、在信号...
资源总数
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LMS算法 热门资料
查看全部 500 份 →Adaptive equalization via kalman filtering techniques. Optimal bounding ellipsoid algorithms, LMS an
Adaptive equalization via kalman filtering techniques. Optimal bounding ellipsoid algorithms, LMS and RLS and kalman fil...
2017-07-20
50
A simple code for understanding lms nlms and wiener filters for beginners
A simple code for understanding lms nlms and wiener filters for beginners
2017-04-24
50
a simple program for lms and taking into account the eigenspread factor
a simple program for lms and taking into account the eigenspread factor
2014-01-05
139
DSP for MATLAB鈩nd LabVIEW鈩? Volume IV: LMS Adaptive Filtering
DSP for MATLAB鈩nd LabVIEW鈩? Volume IV: LMS Adaptive Filtering
2013-12-11
190