AproximacionFuncionalEInterpolacion

步进电机失步情况的一个仿真.这是一个比较完整的方针,但是仅仅考虑了在单个脉冲下的失步情况.(Stepper motor out-of-step situation in a simulation. This is a relatively comprehensive approach, but considered only in a single pulse under the out-of-step situation.)

qam matlab 仿真简介，自己看看就知道了。。。。(qam matlab )

可以实现wstring与string之间的相互转化，同时也包括了string与CString之间的转换(Can achieve mutual conversion between wstring and string, but also includes the conversion between string and CString)

kalman for real tracking

这个工具是同伴的图书软件的复杂性管理的模糊系统 ，斯普林格，2010。 一个新的规则为基础的系统类型，称为规则为基础的网络，已与行动建议操作规则库的互联网络，形成一个等效的单规则库。这些行动最近已实现为基于Matlab工具箱，但仅限于个人使用的节点对。此工具自动执行正确网络中的所有节点的基本操作。该工具会让你更容易实现用尽可能少的用户交互的各种规模的规则为基础的网络 (This tool is companion software for the book Complexity Management in Fuzzy Systems , Springer, 2010. A novel type of rule based system, called a rule based network, has been suggested with operations to manipulate networks of interconnected rule bases to form an equivalent single rule base. These operations have recently been implemented as a Matlab based toolbox, but are limited to individual use on pairs of nodes. This tool automatically performs the basic operations correctly on all nodes in a network. The tool will make it much simpler to implement rule based networks of all sizes with as little user interaction as possible. )

MATLAB与PSCAD联合仿真实例,包括 hvdc_fourier、hyst_plot、phasor、three_dim_plot等(The Co-Simulation of MATLAB and PSCAD，including hvdc_fourier、hyst_plot、phasor、three_dim_plot.)

由于飞机设计是一个需要多次反复迭代的重复过程，需要进行大量的计算，因此我们自己编写了一些MATLAB程序。(As the aircraft design is a repeated duplication of iterative process, requiring a large number of calculation, so we have written a number of MATLAB procedures.)

说明：  模式识别中的k近邻算法，用matlab编写，希望对大家有所帮助(K-nearest neighbor algorithm for pattern recognition with matlab write, we want to help)

基于小波变换的局部放电信号消噪技术研究，包括程序和参考文献。(Noise cancellation technology research partial discharge signal based on wavelet transform, including the program and reference papers.)

说明：  用GA算法优化极限学习机的参数，从而实现预测(GA algorithm is used to optimize the parameters of the extreme learning machine to realize the prediction)