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LMS和变步长LMS的性能比较
- 本程序对两种固定步长和一种变步长最小均方误差算法的权值收敛进行了仿真，结果表明变步长的算法效果更优。
基于DSP的lms自适应滤波器实现
- 基于DSP的lms自适应滤波器实现并仿真
LMS算法
- LMS自适应滤波算法实现
LMS 源程序算法
- LMS 源程序算法
LMS_Newton
- 用于仿真牛顿LMS算法-for LMS algorithm simulation Newton
Echo_cancellation_LMS
- 基于LMS算法的回声消除仿真-LMS algorithm based on the echo canceller Simulation
Normalized_LMS
- 归一化的LMS算法-the LMS algorithm
Normalized_LMS
- 归一化自适应LMS算法的Matlab仿真-under a self-adaptive LMS algorithm Matlab simulation
LMSALGORITHEM
- LMS 算法MATLAB代码,可以经常LMS的计算.这个是.M文件.希望大家多交流-LMS algorithm MATLAB code, LMS can often calculated. the yes. M documents. we hope that more exchanges
LMS11
- 自己编的LMS自适应算法的MATLAB源程序 本程序内容： 产生一个信号+白噪声序列，用lms算法自适应去除噪声； lmsx.m为自适应函数 task2.m为主函数,其中调用lmsx.m -own series of the LMS algorithm MATLAB source of this program : produce a white noise signal sequence, using LMS ad
implementofLMS_Equalizer
- 采用LMS算法的盲均衡仿真程序，挺简单的，大家可作为参考-using LMS blind equalization algorithm for the simulation program, quite simply, we can reference
exp8b
- LMS自适应滤波算法,采用LMS算法来完成自适应滤波.-LMS adaptive filter algorithm, using LMS algorithm to complete adaptive filtering.
newlms
- 一种lms算法的matlab源程序，是word文本打开。-a LMS algorithm Matlab source, the text is word open.
VSS_LMS
- 变步长LMS算法!用于系统识别的,用MATLAB编写-modified LMS algorithm! For system identification, prepared using MATLAB
blms
- 关于块LMS算法的程序,适用于研究自适应滤波器-block LMS algorithm on the procedures applicable to adaptive filter
LMS-auto-adapter-fiter
- 考虑一个线性自适应均衡器的原理方框图如《现代数字信号处理导论》p.275自适应均衡器应用示意图。用LMS算法实现这个自适应均衡器，画出一次实验的误差平方的收敛曲线，给出最后设计滤波器系数。一次实验的训练序列长度为500。进行20次独立实验，画出误差平方的收敛曲线。给出3个步长值的比较。-consider a linear adaptive equalizer block diagram as the principle of "
zsysf
- 用MATLAB编写的递推最小二乘算法算法\LMS算法,karlman算法-using MATLAB recursive least squares algorithm \ LMS algorithm, the algorithm karlman
968253
- 自适应lms算法源程序 自适应matlab程序-adaptive algorithm source lms adaptive procedures Matlab
dsp1.1
- LMS算法，从宽带信号中提取单频信号的算法，方法简单易行-LMS algorithm, broadband signal from the single-frequency signal extraction algorithm is simple
my_lms_1
- 一个语音信号处理，使用lms算法处理，程序中有具体说明-a voice signal processing, use lms algorithm with the procedure is specified