搜索资源列表
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
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
LMS
- 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.
LMS
- LMS的经典算法，配合习题，出图效果良好，仿真效果良好，-The classic LMS algorithm, with exercises, a figure to good effect, the simulation result is good,
MyLMS
- LMS算法函数，基于自适应滤波器的噪声抵消算法研究-LMS algorithm function, based on adaptive filter noise cancellation algorithm
SASG
- SASG分布噪声的程序及结果，包括自动生成sas稳定分布序列，RMN算法，LMS算法等。-SASG noise distribution procedures and results, including automatically generated sas stable distribution sequence, RMN algorithm, LMS algorithm.
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
dfe_nlms
- 实现基于归一化LMS算法的判决反馈均衡器的实现，通过眼图仿真-Feedback equalizer based on the judgment of the normalized LMS algorithm to achieve through the eye diagram simulation
LMS_NLMS
- 实现基本的LMS算法和归一化LMS算法学习曲线的比较仿真-LMS algorithm and normalized LMS algorithm learning curve comparing simulation
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
- 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.
LMS-algorithm
- LMS算法的Matlab程序，很详细，有用的程序。-LMS algorithm
TXZ
- 绘制不同阵元天线方向图，可以观察到天线辐射场在不同方向的辐射能量分布,以及LMS算法形成的方向图。-Drawing the different array antenna pattern, we can observe the radiant energy distribution of antenna radiation field in different directions, and the pattern formed by LMS algorithm.
zpmulation
- lms自适应算法matlab仿真最小方差无失真波束形成器不同方向角-LMS adaptive algorithm matlab simulation minimum variance distortionless shaper different direction Angle of the beam
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