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Global Optimization Toolbox provides methods that search for global solutions to problems that contain multiple maxima or minima. It includes global search, multistart, pattern search, genetic algorithm, and simulated annealing solvers. You can use these solvers to solve optimization problems where the objective or constraint function is continuous, discontinuous, stochastic, does not possess derivatives, or includes simulations or black-box functions with undefined values for some parameter settings.

说明：  国外模式识别课上老师给的pca和lle代码(These codes are given by the teacher in the pattern recognition class)

基于matlab的数值积分算法，用代码编写实现，含键控输入模块。(failed to translate)

Example of digital regulation of direct current motor

说明：  SVG仿真，运行在simulink环境下，接单相负载。(SVG simulation, running in simulink environment, single-phase load.)

wiener滤波器的实现，主要是学习曲线的绘制和误差的计算(wiener filter implementation, mainly drawing and error learning curve calculation)

截断的核范数，可用于矩阵恢复。需要知道丢失点的像素位置。该算法是 2013 PAMI上一篇文章里的算法。感兴趣的看看(Nuclear norm truncated matrix can be used for recovery. Need to know the pixel positions lost points. The algorithm is an article on the 2013 PAMI algorithms. Look interested)

在matlab环境下读取两个txt文档中的内容，并实现两个内容的相似性比较(compare with two groups of int number)

非线性滤波UKF的一些常见函数及实现方法等等。方便学习和使用(Some common function and realization method of the nonlinear filtering UKF)

基于空间电压矢量的永磁同步电机直接转矩控制的MATLABsimulink，仿真结果良好(Space voltage vector based permanent magnet synchronous motor direct torque control MATLAB simulink, the simulation results good)