classify_yb

交错反激电路matlab，mppt，光伏微逆变器仿真源码。(Interleaved flyback circuit matlab, mppt, photovoltaic micro inverters source of emulation.)

利用增加一个角度来调整地球旋转的变化，利用这个参数，可以绘制看起来是旋转的地球(The use of an additional angle to adjust the changes in the Earth' s rotation, using this parameter, you can draw the Earth' s rotation appears to)

说明：  matlab 平面单元分析 适合采用matlab进行有限元计算的朋友(Plane element analysis matlab matlab for finite element analysis using friends)

共最简单的时间序列的预测入门，最后一直讲到ARMA模型，有理论和matlab程序(Total easiest time series prediction entry, the last has been talked about ARMA model theory and matlab program)

对任意概率的输入，实现2元HUFFMAN编码的MATLAB(The probability of any input to achieve two yuan HUFFMAN coding the MATLAB)

代码检查的PC-lint工具源码,实现在Windows上图形化检测代码是否符合规范。(the source code of PC-lint on windows)

医学影像处理，图像处理相关的图像处理学习指导(Medical Image Processing, Image Processing Image Processing related study guide)

The result is an IS-95CDMA forward link software simulation package ,which mimics real-time data communication from a basestation to a cellular unit. The package simulates an IS-95CDMA forward link cellular system consisting of 3 major components:Transmitter, Communication Channel and Receiver. (The result is an IS-95CDMA forward link software simulation package, which mimics real-time data communication from a basestation to a cellular unit. The package simulates anIS-95CDMA forward link cellular system consisting of 3 major components: Transmitter, Communication Channel and Receiver .)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

matlab有限元 3-D FDTD code with PEC boundaries (matlab finite element 3-D FDTD code with PEC boundaries)