PRACTICE

Level Set水平集算法的matlab程序part 2 (李春明版本）(Level Set Level Set algorithm matlab program part 2 (Li Chunming version))

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)) )

SINGLE PHASE three 3PH motor

DF schemes provide better performance than the AF schemes. However DF schemes are more computationally intensive at the RS. Also transmit diversity seems to perform better than receive diversity. However receive diversity does not need the BS to transmit during the second phase. Hence it can schedule another user in this slot. The benefit of receive diversity will be visible when we do network simulations

mencoba program dasar matlab

this file is project for tsp with pso algoritm

说明：  机器人的诞生和机器人学的建立和发展是20世纪自动控制最具说服力的成就，是20世纪人类科学技术进步的重大成果。机器人是传统的机构学与近代电子技术相结合的产物，是最典型的机电一体化、数字化和自动化装备。轮式机器人轨迹跟踪(The establishment and development of the birth of the robot and robotics is the automatic control of the most convincing achievements of the 20th century, the major achievements of the 20th century scientific and technological progress. The robot is a traditional product of the combination of institutional learning and modern electronic technology, is the most typical mechanical and electrical integration, digitization and automation equipment. Wheeled robot trajectory tracking)

经验模态分解(Empirical Mode Decomposition,EMD)法是黄锷(N. E. Huang)在美国国家宇航局与其他人于1998年创造性地提出的一种新型自适应信号时频处理方法，特别适用于非线性非平稳信号的分析处理。(Empirical Mode Decomposition)

WCDMA的MATLAB仿真程序，供参考学习 (WCDMA system analysis)

用于脑电信号分析的matlab算法，对数据进行PCA处理及SVM分类。(The matlab algorithm for EEG signal analysis performs PCA processing and SVM classification on data.)