MATLAB_GUI_Design

SLAM Robot Navigation Toolbox.

组合风速模型，将组合风分解成基本风、阵风、随机风和渐变风(Combination of wind speed model, the combination of wind decomposed into basic wind gust random wind and gradient wind)

matlab power flow toolbox with document

说明：  矢量控制学习笔记。PMSM电机的基础和进阶知识汇总。(Vector control study notes. PMSM motor basic and advanced knowledge accumulation.)

利用matlab绘制半圆球的三维曲面图，源程序代码，(Matlab draw the ball using the three-dimensional semi-circular surface diagram, source code)

三电平原理仿真，请根据您的实际使用情景进行修改(Three-level principles of simulation, please be modified according to usage scenarios)

相场方法模拟均匀过冷度场下的金属晶体结晶过程(PHASE-FIELD METHOD FOR THE METAL SOLIDIFICATION )

说明：  M-file to calculate and plot the velocity and

设计了各种窗函数的滤波器，包括矩形窗，滚降升余弦窗，切比雪夫窗，凯泽窗等。(Designed a variety of window function filters, including the rectangular window, roll-off raised cosine window, Chebyshev windows, Kaiser windows.)

传统的宽带信号中抑制正弦干扰的方法是采用陷波器(notch filter),为此需要精确知道干扰正弦的频率.然而当干扰正弦频率是缓慢变化时,且选频率特性要求十分尖锐时,则最好采用自适应噪声抵消的方法.下图是用一个二阶FIR的LMS自适应滤波器消除正弦干扰的一个方案。该代码实现了以下功能： 1) 借助MATLAB画出了滤波器的误差性能曲面和误差性能曲面的等值曲线； 2） 给出了最陡下降法以及LMS算法的计算公式； 3） 用MATLAB产生了方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出了采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线； 5）用MATLAB计算并画出了LMS法时误差随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； 7）最终对结果进行了分析，具体见压缩包的word文档。 (Wideband signal in the conventional sinusoidal interference suppression method is the use notch filter (notch filter), this requires precise knowledge of the frequency of a sinusoidal interference . However, when the interference frequency sinusoidal changes slowly , and the selected frequency characteristic requirements are very sharp , then best use of adaptive noise cancellation method . following figure is a second-order FIR LMS adaptive filter to eliminate a program sinusoidal interference . The code implements the following functions:   A ) draw with MATLAB error performance of the filter surface and the surface contour error performance curve 2 ) gives the steepest descent method and the LMS algorithm formula 3 ) generated using MATLAB variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour pl)