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实现了定子磁链定向的DQ坐标系下的双馈电机模型(Stator flux oriented to achieve the DQ coordinate system doubly-fed machine model)

薛定宇《高等应用数学问题的MATLAB求解》，也是matlab对于高等应用数学的应用，适合进阶学习(Xue Dingyu Higher Applied Mathematics MATLAB to solve, matlab for Higher Applied Mathematics for Advanced Learning)

设计一M阶自适应回波抵消器，已u(n)作为系统输入，d(n)作为系统期望响应，其中d(n)中混有u(n)的回声，信号以8kHz采样，现要求回波抵消器可以消除16ms之内的回声(The design of a M-order adaptive echo cancellation, and have u (n) as the system input, d (n) as a system to respond to the expectations, in which d (n) in a mixture of u (n) of the echo signal to 8kHz sampling, are requirements 16ms echo cancellation device can be eliminated within the echo)

an electric vehgicle wthid backstiping control speed

模糊开关 直接转矩控制 直接转矩控制中逆变器开关表的模糊控制(Fuzzy direct torque control switch in the direct torque control inverter switching fuzzy control table)

此代码旨在实现meanshift算法，能对图像灰度值进行聚类。(This code is designed to achieve meanshift algorithm can cluster the image gray value)

数据整理，数据和标签和样本数量之间的匹配，当然也可以用其他方法，仅供参考(Data collation, matching between data and label and sample quantity, of course, other methods can be used, for reference only)

说明：  基于matlab实现卡尔曼滤波。卡尔曼滤波是递推自适应滤波的一种有效方法。(Kalman filter based on the realization of matlab. Recursive adaptive Kalman filter is an effective method for filtering.)

Numerical integral, Romberg integral, matlab .m file, source code.

In this session, I will focus on the gridding method for fast image reconstruction from non- Cartesian data [1-5]. While gridding is not the only game in town, it is the reconstruction of choice when reconstruction time is an issue. Other reconstruction techniques include rBURS [6] and non-Cartesian iterative methods [7,8]. Non-Cartesian iterative methods generally use gridding and inverse gridding as their core operation, so even when gridding is not the right solution for an application, an understanding of gridding can be useful. I will cover the main steps of the gridding algorithm and then discuss some implementation tips that can signicantly reduce the computation time. Finally, I will present some illustrations and viewpoints that I have found to aid in an intuitive understanding of the gridding method, which can be helpful when designing the density compensation function and judging the appropriateness of gridding as a solution for a particular application.