matlab_FM-modulate

basic full converter lab circuit

三相短路计算程序，计算任意地点三相短路后各支路电流和各节点电压(Three phase short circuit calculation program-After the three-phase short circuit in arbitrary locations, the current of each branch and the voltage of each node can be abtained.)

Real Time Color Tracking Code using Matlab

this is a matlab model of single machine infinite bus with out any controller. we can add any type of controller for verification of stability of the system

说明：  由Nasa提供，在Matlab裡面調用Code V的m檔。(m files for using Code V in Matlab.)

说明：  uwb中的矩形波的产生，估计带宽，产生固定持续时间的波(the rectangular wave, an estimated bandwidth, have a fixed duration of the wave)

This code is NUMBER1: MATLAB code for paper: calculation of electron energies in a quantum well using the transfer matrix method. we solve the time independent schrodinger equation in 1D AlGaAs/GaAs/AlGaAs quantum well using the transfer matrix method. We define a wave function for each point of well and barriers and convert it to a 2in2 matrix. Multiplying of matrixes with boundary conditions results in discrete energies and their wave functions. We compare our results with other simulations and calculate discrete energies for different wells.

一个用于图像标定的算法，用matlab实现，非常好的一个算法()

这里实现了基于四种SVM工具箱的分类与回归算法: 1、工具箱：LS_SVMlab Classification_LS_SVMlab.m - 多类分类 Regression_LS_SVMlab.m - 函数拟合 2、工具箱：OSU_SVM3.00 Classification_OSU_SVM.m - 多类分类 3、工具箱：stprtoolsvm Classification_stprtool.m - 多类分类 4、工具箱：SVM_SteveGunn Classification_SVM_SteveGunn.m - 二类分类 Regression_SVM_SteveGunn.m - 函数拟合 更详细的相关函数说明请通过help命令查看！(Here the realization of the four SVM toolbox based on the classification and regression algorithm: 1, Toolbox: LS_SVMlabClassification_LS_SVMlab.m- Multiclass Classification Regression_LS_SVMlab.m- function fitting 2, the toolbox: OSU_SVM3.00Classification_OSU_SVM.m- Multiclass Classification 3, Toolbox: stprtoolsvmClassification_stprtool.m- Multiclass Classification 4 toolbox: SVM_SteveGunnClassification_SVM_SteveGunn.m- II Category Regression_SVM_SteveGunn.m- function fitting a more detailed explanation of the correlation function through the help command to view!)

采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.(Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-making rules.)