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lms
- 自适应滤波器设计，LMS算法源程序，matlab仿真实现。
lms
- 自适应滤波器的核心是自适应算法。最小均方算法(LMS) 和递归最小二次方算法RLS) 。通过对这两种算法的推导过程,可以清楚的了解到自适应算法的理论体系,-Adaptive filter is the core of adaptive algorithm. Least mean square algorithm (LMS) and recursive least quadratic algorithm RLS). Through the derivation of these two algor
LMSFilterMatlab
- 此程序可实现基于LMS（最小均方误差算法）的自适应滤波程序-this procedure can be based on the LMS (least-mean-square error algorithm) adaptive filtering process
C_LMS
- 研究利用LMS自适应均衡器纠正存在加性白噪声的信道的畸变。讨论步长参数 和特征值扩散度 对学习曲线的影响。-To examine the use of LMS adaptive equalizer to correct the existence of additive white noise distortion channel. Discussion of step parameters and eigenvalues of the proliferation of degrees of i
LMSADAPTIVEFILTERALGORITHM
- LMS自适应算法,这个是LMS的基础算法，后面的一段是由公式给出的-LMS adaptive algorithm, this is the basis of LMS algorithm, the back section is given by the formula
103244862adaptive_LMS
- 自适应lms算法程序，对学习lms算法很有帮助-lms
FIRLMS
- LMS 自适应滤波算法及其实现 自适应滤波器程序设计-LMS code
Adaline
- 随机信号处理 通信信道仿真 自适应LMS算法 自己编的小程序-Adaline
LMS
- 基于LMS算法的matlab实现，比较基本的LMS算法，可用于自适应滤波器仿真-Matlab implementation based on LMS algorithm is a basic implementation of LMS algorithm for adaptive filter simulation.
lms
- 最小均方算法是一种自适应滤波算法，这里的Matlab程序用于根据LMS最新均方识别一个线性噪声系统-LMS algorithm is an adaptive filter algorithm, where the Matlab program for the latest according to the mean square LMS noise system identification of a linear
lms
- LMS自适应滤波算法的MATLAB仿真程序-LMS adaptive filtering algorithm MATLAB simulation program
lms
- 最小均方误差自适应滤波算法对信号的处理例程-LMS algorithm demo
TheuseandyanjiuofAdaptivefilter
- 该文档是自适应信号处理研究的一篇研究生毕业论文，介绍了自适应的几种常见算法，如LMS，NLMS等等，并在最后有相关的MATLAB程序（LMS程序 自适应滤波器，陷波器，分离器等程序）可以作为自适应信号处理初学者的参考资料-This document is an adaptive signal processing graduate thesis introduces several common adaptive algorithms, such as LMS, NLMS, etc., and
lms
- 基于lms的语音信号自适应干扰抵消研究，本文为lms的源码-failed to translate
LMS
- 用于数字图像处理的椒盐噪声滤波的自适应算法，-Salt and pepper for digital image processing adaptive noise filtering algorithm
lms
- lms自适应滤波算法 -lms adaptive filtering algorithm
LMS--filtering
- 信号在采集和输送过程中往往会参杂着噪声和干扰，将自适应神经网络与信号处理结合起来，采用最小均方（LSM）算法设计的线性自适应滤波器将信号中的杂波成分滤除。用matlab进行仿真,证实线性自适应滤波器具有良好的滤波功能。-Signal acquisition and delivery process often mingled with the noise and interference, the adaptive neural network combined with signal proc
LMS
- 仿真演示自适应最小均方LMS算法的性能: 全矢量噪声，失调量，自适应时间之间的关系。-Simulation demonstrates adaptive least mean square LMS algorithm performance: relationship full vector noise, offset the amount of time between adaptation.
zhishiying2
- 自适应过程是一个不断逼近目标的过程。它所遵循的途径以数学模型表示，称为自适应算法。通常采用基于梯度的算法，其中最小均方误差算法（即LMS算法）尤为常用。(The adaptive process is a process of approaching the goal. The way it follows is represented by a mathematical model, called an adaptive algorithm. Gradient-based algorithms
基于LMS算法的自适应滤波器设计与实现
- 因LMS算法具有低计算复杂度、在平稳环境中的收敛性好、其均值无偏地收敛到wiener解和利用有限精度实现算法时的稳定性等特性，使LMS算法成为自适应算法中应用最广泛的算法。(Because LMS algorithm has low computational complexity, convergence in stable environments, the mean unbiased converges to the Wiener solution and the finite preci