mat_emd

利用matlab编写的粒子滤波程序，能够对学习matlab有所帮助。(Prepared using particle filter matlab program, matlab can be helpful in learning.)

matlab/simulink 直流电机的特性(Speed_characteristics_of_DC_motor)

超经典的ffmepg学习教程及示例代码！~~~(Ultra Classic ffmepg tutorials and sample code)

考察一个在热循环中的表面贴片电阻。一般情况下，连接贴片电阻与电极的焊点是其中最薄弱的环节，它通常对温度和时间表现出较强的非线性。为了确保结构的完整性，基于蠕变应变和耗散能进行了疲劳分析。(This case study of a surface patch resistance in a thermal cycle. In general, the solder joint is the weakest link, which usually shows strong nonlinearity in temperature and time. In order to ensure the integrity of the structure, the fatigue analysis is carried out based on the creep strain and dissipation energy.)

This tool is a simplification of the ballpivoting algorithm. It imagines a bella eating a delaunay traignulation in order to extract a manifold surface. It requires a single parameter: radius of the fretting ball. Ball Fretting Given a uniform sampled filled point cloud returns a tight triangulation. Input: ■tetr: a set of tetraedrons, nx4 array. If the cloud is not tesselated yet you need to call a delaunay triangulator prior calling this function. ■p : nx3 array, 3D set of points. ■r : the only parameter of the algorithm, the radius of the fretting ball Output: ■t : triangles ids, nx3 array ■tnorm: normals of triangles with outwards orientation

对拍摄到得全息图进行重构的程序。缺点，在MATLAB中使用的是近似算法，实际上可以在程序外建立C程序来实现循环从而让结果更精确。(Wavefront reconstruction of digital hologram.)

pll仿真,锁相环的设计与simulink下的仿真图。准确的。(pll simulation, phase-locked loop design with simulink under the simulation diagram. Accurate.)

说明：  调用normfit函数求正态总体参数的最大似然估计和置信区间(Normfit function calls seeking normal population parameters of maximum likelihood estimates and confidence intervals)

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

sun position using matlab