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LMS滤波器(最小均方误差滤波器),学习现代数字信号处理理论的人应该用的上。-LMS filter (minimum mean square error filter), learning modern digital signal processing theory should be used on.
Update : 2024-05-03 Size : 200704 Publisher : sun bo

DL : 0
非常不错的LMS学习材料 附带LMS仿真结果-LMS is very good study material incidental LMS simulation results
Update : 2024-05-03 Size : 26624 Publisher : wangxin

自适应滤波LMS算法的MATLAB程序,有修改过,运行即可看结果-LMS adaptive filtering algorithm MATLAB procedures, have modified, you can watch the results of running
Update : 2024-05-03 Size : 3072 Publisher : 程然

经典LMS算法极其示例,希望有人能让我分享个多输入的LMS算法-LMS algorithm is extremely classic example of the hope that someone will allow me to share more than the LMS algorithm input
Update : 2024-05-03 Size : 1024 Publisher : 石岩岩

LMS自适应滤波算法源程序,可以直接使用-LMS adaptive filtering algorithm source code, you can directly use
Update : 2024-05-03 Size : 1024 Publisher : 王为

matlablms
DL : 0
matlab实现陷波器,采用的是LMS 算法实现,能将特定的正弦信号滤去-matlab notch filter realization using the LMS algorithm, the sinusoidal signal to a particular least squares
Update : 2024-05-03 Size : 1024 Publisher : zdj

DL : 1
DSP实验——自适应滤波器LMS算法实验 c语言编写 已通过调试-DSP Experiment- LMS adaptive filter algorithm experimental c language through debugging
Update : 2024-05-03 Size : 7168 Publisher : 刘铃华

matlablms
DL : 0
均衡器抽头参数中,使用LMS算法确定有限长最优抽头参数-Tap equalizer parameters, the use of finite-length LMS algorithm to determine the optimal tap parameters
Update : 2024-05-03 Size : 1024 Publisher : 谢玮霖

matlabLMS
DL : 0
最小均方误差自适应算法,简称LMS算法.LMS算法自适应实现 -MMSE adaptive algorithm, or LMS algorithm. LMS adaptive algorithm to achieve
Update : 2024-05-03 Size : 1024 Publisher :

LMS算法的基本原理分析介绍文档(难度为入门级别)-Introduction of LMS Algorithm
Update : 2024-05-03 Size : 88064 Publisher : 冰激凌

DL : 0
介绍lms算法的基本原理,用matalb编程,并给出了运行结果-Introduce the basic principles of LMS algorithm, using matalb programming, and give the results
Update : 2024-05-03 Size : 129024 Publisher : hanchangxi

OtherLMS
DL : 0
很好的介绍了自适应滤波器的一些相关算法,lms算法,rls算法-Very good introduction to some of the adaptive filter correlation algorithm, lms algorithm, rls algorithm and so on
Update : 2024-05-03 Size : 7168 Publisher : 王波

采用一种快速收敛变步长LMS(Least mean square ) 自适应最小均方算法matlab源程序,其中算法所做的工作是用FIR 滤波器的预测系统,对IIR系统进行预测,如果阶数越高越能逼近被预测系统。-Using a fast convergence of variable step size LMS (Least mean square) adaptive least mean square algorithm matlab source, one of algorithm is the work done by FIR prediction filter systems, prediction of IIR systems, if the higher order the more it can be prediction system approximation.
Update : 2024-05-03 Size : 1024 Publisher : 杨思科

自适应LMS算法。由于我要使用,所以将信源信号及加澡后的信源信号保存起来。方便在FPGA设计里使用。-Adaptive LMS algorithm. Because I would like to use, so the source signal and add a noise after the shower saved the source signal. Designed to use in the FPGA.
Update : 2024-05-03 Size : 1024 Publisher : xiaoLEE

Otherlms
DL : 0
LMS算法使用matlab语言实现仿真 用于自适应滤波器-LMS algorithm using matlab simulation language used to achieve adaptive filter
Update : 2024-05-03 Size : 1024 Publisher : XJZ

LMS收敛程序。有2个仿真图,一个时域一个是频域的。-LMS convergence process. The simulation has two maps, one is a time domain frequency domain.
Update : 2024-05-03 Size : 1024 Publisher : nixia

matlablms
DL : 0
lms算法的一些研究成果,主要是这类算法的大致介绍和应用-lms algorithm the results of some studies, this type of algorithm is a general introduction and application of
Update : 2024-05-03 Size : 116736 Publisher : jay chou

DL : 0
这是一个来自权威书籍的最小均方算法(LMS algorithm),也叫Widrow-Hoff算法。-This is a book from the authority of the least mean square algorithm (LMS algorithm), also known as Widrow-Hoff algorithm.
Update : 2024-05-03 Size : 1024 Publisher :

matlablms
DL : 0
lms算法的MATLAB仿真,通俗易懂,非常适合初学者-MATLAB simulation of the lms algorithm, user-friendly, very suitable for beginners
Update : 2024-05-03 Size : 1024 Publisher : 小白

LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h *p1 计算维纳解时最小均方误差 u=1/sum(eigs(R- LMS算法实现自适应滤波 clear close all clc N=10000 设置仿真长度 信号产生参数设定 a1=-0.195 a1=-1.5955 a2=0.95 R0=[1,a1,a2 a1,1+a2,0 a2,a1,1] p=[1,0,0] r=inv(R0)*p 计算理论自相关函数 R=[r(1),r(2) r(2),r(1)] 生成理论自相关矩阵 p1=[r(2),r(3)] 生成互相关 h=inv(R)*p1 计算维纳解 Jmin=r(1)-h*p1 计算维纳解时最小均方误差 u=1/sum(eigs(R))
Update : 2024-05-03 Size : 1024 Publisher : wan
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