MTI

This is an archive for feature extraction.

对模拟信号抽样，然后进行离散傅里叶变换，利用自编DFT函数，得到频谱，然后进行频谱的还原。(Sampling the analog signal, then the discrete Fourier transform, DFT self function obtained spectrum and the spectrum reduction.)

基于FXLMS算法的有源噪声控制源码，自己编写(FXLMS algorithm based active noise control source, their preparation)

异步电机解耦矢量控制系统的数字控制器设计,先求解出解耦以后的异步电机矢量控制方程，然后将其离散化，在此基础上设计了数字控制器，文件中包含相关的Simulink仿真模型和Word说明。(Decoupled induction motor vector control system digital controller design, the first decoupling solved after induction motor vector control equations, then discretized on the basis of the design of the digital controller, the file contains the relevant Simulink simulation model and Word instructions.)

说明：  基于PID控制的永磁同步直线电机速度控制系统，输出速度能够较好的跟踪输入信号，控制效果比较理想(The speed control system of permanent magnet synchronous linear motor based on PID control can track the input signal better, and the control effect is ideal.)

各种优化算法解决tsp问题帮助您能够请搜你过得解决TSP问题(dhaks)

MATLAB提供了各种曲线拟合方法，例如：Exponential, Fourier, Gaussing, Interpolant, Polynomial, Power, Rational, Smoothing Spline, Sum of Functions, Weibull等，当然，也可以使用 Custom Equations. cftool不仅可以绘制拟合后的曲线、给出拟合参数，还能给出拟合好坏的评价参数(Goodness of fit)如SSE, R-square, RMSE等数据，非常好用。但是如果我们已经确定了拟合的方法，只需要对数据进行计算，那么这种GUI的操作方式就不太适合了，比如在m文件中就不方便直接调用cftool。 (matlab has given a lot of method for curve combine ,we will give a new method and provide a matlab code.)

PMSG网侧的结构包括逆变器、PWM发生器、电压矢量控制。采用电压外环和电流内环的双闭环控制。设计电流控制器时，希望稳态电流无静差，而且动态要求上，永磁直驱风力发电系统中不允许在电流调节过程中有太大的电流超调.(PMSG network side structure includes an inverter, PWM generators, voltage vector control. Using a voltage outer and inner current double closed loop control. Design current controller, hope no static error steady-state current, and the dynamic requirements, permanent magnet direct drive wind power system does not allow much of the current overshoot in the current regulation process.)

Matlab 7.0 主要功能与函数使用教材，对于使用matlab 的高级应用有很大帮助(Matlab 7.0 function uses textbooks, for use matlab senior applications have great help)

用BP进行非线性动态系统辨识 (BP carried out using nonlinear dynamic system identification)