crazyflie

很简单的交错网格有限差分正演程序，程序通俗易懂，非常适合初学者学习(Staggered grid finite difference)

说明：  两份Matlab的资料，一个是关于如何与VC接口调用Matlab的程序；一个是介绍matlab如何使用(Matlab two information, one is on how to call Matlab and VC interface procedures one is to introduce how to use matlab)

program to obtain the scattering width of TE wave from a conducting cylinder

introduction on simulink and how to operate with examples

差分空时传输分集的两篇重要文档仿真： 1. V. Tarkh and H. Jafarkhani, “A differential Detection scheme for transmit diversity,”；2. S. M. Alamouti, “A simple transmitter diversity scheme for wireless communications,” 。 关键词：差分；空时；协同；分集；MATLAB仿真(Differential space-time transmit diversity simulation two important documents: 1. V. Tarkh and H. Jafarkhani, " A differential Detection scheme for transmit diversity," 2. SM Alamouti, " A simple transmitter diversity scheme for wireless communications," . Keywords: Differential space-time Cooperative diversity MATLAB simulation)

一个MATLAB程序包,用来产生随机的三维目标轨迹. 可以指定目标运行的高度范围, 速度范围和加速度范围. 希望对于研究目标跟踪的朋友有用. (A MATLAB package, used to generate three-dimensional random target trajectory. User can specify the range of hight, speed and acceleration of the target. Hope it s useful for friends studying target tracking.)

说明：  matlab的入门学习好帮手，我看了后学到了很多，希望和大家共享。(Matlab to learn good helper, I watched a lot of deconstruction, hoped and everybody sharing.)

【matlab编程代做】水平集模型的图像分割 可以作为参考使用学习([Do] matlab programming generation level set image segmentation model can be used as a reference study)

this code for image processing different operation performed

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)