SVPWM

Adaptive code jammer

用MATLAB实现人脸识别的源代码，包括训练集的实现，识别部分的书写。(Face recognition using MATLAB source code, including writing to achieve the training set, the identification section.)

基于BOW模型的图像分类,其中包括K-means聚类等分类算法(BOW model-based image classification)

1、基本要求： (1)频率测量 测量范围：1HZ~1MHZ，信号为方波、正弦波；幅度为0.1V~5V； 测量误差： 0.1 （以NFC—10A为准）。 (2)周期测量 测量范围：1HZ~1MHZ，信号为方波、正弦波；幅度为0.1V~5V； 测量误差：， 0.1 （以NFC—10A为准）。 (3)脉冲宽度测量： 测量范围：脉冲宽度不超过100μS，信号为脉冲波，幅度为0.1V~5V； 测量误差： 0.1 。 (failed to translate)

永磁同步电机 卡尔曼 无速度传感器仿真 在实践中的 (matlab for pmsm ekf)

This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2 + bxy + cy^2 + dx + ey + f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters (This is a fast non-iterative ellipse fit, and among fast non-iterative ellipse fits this is the most accurate and robust. It takes the xy-coordinates of data points, and returns the coefficients of the equation of the ellipse: ax^2+ bxy+ cy^2+ dx+ ey+ f = 0, i.e. it returns the vector A=(a,b,c,d,e,f). To convert this vector to the geometric parameters )

分数阶傅立叶变换，可用于LFM信号的相干源信号的估计(Fractional Fourier Transform can be used for LFM signal of the coherent source signal estimate)

图像网格的计算方法，包括快速算法，优于Normalized算法(Image grid computing, including fast algorithm, Normalized algorithm is superior)

说明：  准备建模时弄的 有需要的就下吧 floyd算法(ready when the need to get on the algorithm are you Floyd)

matlab mfile for chaos