DataCheck

定积分的定义动态描述,能够根据需要实现要求的积分。(matlab，use matlab )

Matching Pursuit 算法是信号分解的一种具体实现方法。但其本质上则是一种估计 信号模型参数的方法，因而可直接用于信号检测及参量估计。本文以谐波信号特征参量的估计为例，介绍了其具体实现方法。(Matching Pursuit algorithm is a specific method of signal decomposition. But by its very nature is an estimated signal model parameters, and thus can be directly used for signal detection and parameter estimation. In this paper the harmonic signal characteristics of the estimates of the parameters, for example, describes the specific implementation method.)

说明：  此函数是初学结构光的学生使用的，本人写的光栅生成代码，直接可以运行(This function is used by beginners of structured light. The grating generation code written by myself can be run directly)

fuzzy k-nearest-neighbor algotithm

It cab be open old format of mdl file on new version of matlab invalid model name or file does not exist. due to the presence of characters that are not supported in the current character encoding setting windows-949 clc clear close all bdclose all set_param(0, CharacterEncoding , ISO-8859-1 )

说明：  该代码用遗传算法来优化多函数极值问题，可以很方便的解决非线性方程的极值(The code using a genetic algorithm to optimize multi-function extremum problem can easily solve nonlinear equations extremum)

说明：  一束5W 的线偏振光以Φ = 45 度方位角振动，垂直入射到玻璃 - 空气表面，该光束波长0.6μm，玻璃介质折射率1.54 @0.6m，当入射角θ从0-70 度变化时，通过给定条件，分别完成如下要求： 画出该光束反射光的光强曲线（I-θ）； 分析该反射光束的偏振态变化，画出偏振方向变化曲线（φ-θ）和偏振光束相位变化曲线 （Φ-θ）。 （注：光束从光密到光疏的界面，在入射角θ 从0-70 度变化中，包括了临界角θc）(Bunch of linearly polarized light 5W to Φ = 45 degrees azimuth vibration, normal incidence to the glass- air surface, the beam wavelength 0.6μm, glass refractive index 1.54 @ 0.6m, when the incident angle θ changes from 0-70 degrees By the given conditions, namely the completion of the following requirements: Draw the reflected light beam intensity curve (I-θ) analysis of changes in the polarization state of the reflected beam, draw the polarization direction of the curve (φ-θ) and polarized beam phase curve (Φ-θ). (Note: the light beam from the optical density of the interface is sparse, the incident angle θ  variation from 0-70, including the critical angle θc))

2Dimension of SLAM asks the following question: “Is it possible for an autonomous vehicle to start in an unknown location in an unknown environment and then to incrementally build a map of this environment while simultaneously using this map to compute vehicle location ?

用matlab语言实现的图像匹配，效果还不错！(Language implementation using matlab image matching results were pretty good!)

本程序是用简化梯度法进行电力系统最优潮流计算。(This procedure is the calculation of the optimal power flow of power system with simplified gradient method.)