MOM

说明：  一组开发基于XILINX FPGA开发DSP算法的应用资料，具有实用性，可操作性。（3）(a group Xilinx FPGA-based DSP algorithm development of the information is useful, operability. (3))

说明：  信号处理中信号的分数阶傅里叶变换的程序，很有用，(Signal processing in the fractional Fourier transform signal process, useful )

a comparative study between a PI regulator and fuzzy regulator for a control speed of a Dual Star Induction Machine (DSIM) supplied with two PWM voltage source inverter (VSI) and decoupled by field oriented control (FOC).The simulation results illustrate the robustness and efficiency of the fuzzy regulator to the parametric variations.

Mesh generation is one of the most critical aspects of engineering simulation. Too many cells may result in long solver runs, and too few may lead to inaccurate results. ANSYS Meshing technology provides a means to balance these requirements and obtain the right mesh for each simulation in the most automated way possible. ANSYS Meshing technology has been built on the strengths of stand-alone, class-leading meshing tools. The strongest aspects of these separate tools have been brought together in a single environment to produce some of the most powerful meshing available.

基于matlab的数字水印的添加以及提取(Matlab-based digital watermarking add and extract)

构造函数实现雪花分形，但是MATLAB运行当迭代次数过多会存在不足，实现较慢！(Constructor to achieve fractal snowflake, but the MATLAB run when the number of iterations too many deficiencies to implement slow!)

阵列天线多端口的馈电操作。在进行波束赋形或相控阵天线设计时，若天线端口数量巨大，可以用该程序一次实现对所有天线端口相位及赋值的输入。(Multi-array antenna feed port operations. Performing beamforming or phased array antenna design, if the huge number of antenna ports can be used to implement the program once all the input phase and the antenna port assignment.)

Kron Reduction for power system Y bus calculation

Matlab写的fisher 分类器,很简单适合初学者，体验机器学习的过程(Fisher Linear Discriminant Analysis in Matlab。It fit the people who learning the Machine Learning at first time.)

本程序实现的是径向基神经网络的非线性函数函数逼近功能。(The program implementation is a nonlinear function of radial basis function neural network function approximation.)