Plate_ansys

这是我在学习过程使用到的一些程序，希望对大家有所帮助!(This is what I used in the learning process some of the procedures, I hope all of you to help!)

文件包中12个程序基于Matlab开发Talbot成像的计算软件,非常好,请大家试用.(The package included 12 softwares for Talbot effect in matlab)

用二次插值求f(x)最优解。根据输入确定三点的初始值，并求出对应的函数值。(With quadratic interpolation find f (x) the optimal solution. According to the initial value of the input to determine the three points, and find the corresponding function value)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

Fast_Infogram MATLAMB程序，包含时域谱负熵、频域谱负熵和平均谱负熵(Fast_Infogram MATLAMB program, including time-domain spectral negativity, frequency-domain spectral negativity and average spectral negativity)

说明：  用于灰色关联度的计算，计算子序列对母序列的关联程度，找出关键因素(Calculation of Grey Relevance Degree)

这是用Matlab编写的贪食蛇游戏，非常好玩，大家可以由此体验Matlab编程的乐趣。(This is prepared in Matlab with snake games, very fun, one can all experience the fun of Matlab programming.)

data converters by maloberti

A document detailing about the Image Enhancement process in MATLAB.

MATLAB逐步搜索法计算方程的根. 逐步搜索法也称试算法.它是求方程f(x)=0的根的近似值位置的一种常用的方法. 逐 步搜索法依赖于寻找连续函数)f(x)满足f(a)与f(b)异号的区间[a,b]一旦找到区间，无 论区间多大，通过某种方法总会找到一个根。(MATLAB root search method gradually equation )