threshold

这是求解二阶微分代数方程组DAE，和纯微分方程ODE的matlab源代码(This is the solution of second-order differential-algebraic equations DAE, and pure differential equations ODE s source code matlab)

project on SRM drive system The file is a Matlab m-file with all of the input parameters for the two Simulink models and It must be run prior to running the Simulink models to create the input parameters in the Matlab workspace. Because it is a Matlab m-file, it can be opened to change model input parameters. Once you have changed a parameter in you must run it again before you run the Simulink model to update the Matlab workspace and have the change take effect. The file is a Matlab m-file with all of the input parameters for the Simulink model.

its a matlab program ~~~~~ you can do tit

da2ac average model for PV cell

matlab编写的简单车辆标注程序，要来标注过往的车辆(Matlab prepared by the simple vehicle marked vehicles to mark past)

The goal of this program is to demonstrate the construction of a huffman encoding tree. The tree is represented as a binary tree using MATLAB s built in treeplot commands. Contruction of the tree as well as the huffman code book will be described in later sections

identifying shape context of the image is done and trained using a particular dataset

通过对测试得到的脉动风速时程进行处理，计算湍流积分尺度。(Through the tests of fluctuating wind speed time history for processing, calculation of turbulence integral scale.)

MATLAB高斯消去法解方程组，我调试过了，可以用的。欢迎大家下载使用！(MATLAB Gaussian elimination solution of equations, I have debug off, and can be used. Welcome to download!)

这个zip文件中包含的原则和双方的扩展卡尔曼滤波（EKF）和全球定位系统（GPS）算法简要说明。它的主要目的是提供一个相对容易实现的扩展卡尔曼滤波，在我们使用的输入函数的形式，而不是禁止函数处理符号表达式。它也可作为一个简要介绍了卡尔曼滤波算法GPS和学习它的意思。在为EKF的例子，我们提供的原始资料，同时使用的定位扩展卡尔曼滤波和最小二乘法的任务和解决方案。 有四个M文件和两个数据文件。 Extended_KF.m包含EKF的函数体。另一些功能和GPS的示例数据文件。(This zip file contains a brief illustration of principles and algorithms of both the Extended Kalman Filtering (EKF) and the Global Position System (GPS). It is designed primarily to provide a relatively easy-to-implement EKF, in which we use symbol expressions as the form of input functions rather than the forbidding function handles. It also serves as a brief introduction to the Kalman Filtering algorithms for GPS and a mean of learning it. In the example for the EKF, we provide the raw data and solution for the positioning task using both EKF and the Least Square method. There are four m files and two data files. Extended_KF.m contains the function body of the EKF. Others are functions and data files for the GPS example.)