FEM

无刷直流电动机矢量控制模型,控制IGBT而改变输入的.(The vector control model of Brushless DC Motor. Brushless DC Motor drived by IGBT)

The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order (The main features of the considered identification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate identification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order)

非常好的工具箱，包括了各种著名的算法，可以试一试(Very good kit, including a variety of well-known algorithm, can try)

基于Capon算法的空时处理自适应算法，适用初学者(space-time adaptive beamformin based on capon)

this is a harr classifier for frontal face

说明：  采用案例形式，以智能算法为主线，讲解了遗传算法、免疫算法、退火算法等多种最常用的智能算法的matlab实现，共30个案例，每一个案例都是使用智能算法解决问题的具体案例。所有案例均有理论、背景、程序实现代码和扩展阅读四个部分。(In the form of cases, taking the intelligent algorithm as the main line, this paper explains the matlab implementation of genetic algorithm, immune algorithm, annealing algorithm and other most commonly used intelligent algorithms, a total of 30 cases, each case is a specific case of using intelligent algorithm to solve the problem. All cases have four parts: theory, background, program implementation code and extended reading.)

Addition and multiplication of signals may favour Quality improvement, such as noise reduction, image enhancement, and echo cancellation

Sparse in Time Program Compressive Sensing

多速率信号处理，包括内插、采样和分数阶速率变换(Multi-rate signal processing, including interpolation, and fractional rate conversion)

于斐索干涉仪的数字波面干涉技术研究.费索性的干涉仪，具有共光路的结构。(In Ophir cable digital wavefront interferometer interference technology research)