math

calculate the coefficients of the Hermite interpolating polynomial

说明：  calculates Fourrier transform.

说明：  基于滞环（bang-bang）控制的永磁同步电机直接转矩控制(Hysteresis direct torque control of permanent magnet synchronous motor)

说明：  支持向量机最初用来解决模式识别问题，目的是发现泛化性能好的决策规则。然而，随着Vapnik的 不敏感损失函数的引入，支持向量机已经扩展为解决非线性回归估计问题，而且与神经网络方法相比，有着显著的优越性，被认为是人工神经网络方法的替代方法，已经成为目前机器学习领域的研究热点和焦点。(Support vector machine (SVM) was originally used to solve the problem of pattern recognition. However, with the introduction of Vapnik's insensitive loss function, support vector machine (SVM) has been extended to solve the problem of nonlinear regression estimation. Compared with neural network method, support vector machine (SVM) has obvious advantages. It is considered as an alternative method of artificial neural network method, and has become the research hotspot and focus in the field of machine learning.)

小世界网络的生成程序。具体算法，实现，源码(Small-world network generation program. Specific algorithm, implementation, source code)

Server gos to Virtual

去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法，选择适当大小的中值滤波窗口可以在最大限度的保持图像精度的基础上去除图像噪声。本文在对中值滤波去噪算法的适用性特点进行研究的基础上，进一步研究了中值滤波去噪算法，同时对其他去噪算法，如均值滤波、低通滤波的小波变换进行分析研究，并做了相应的比较。(Noise reduction is one of the most important parts of image processing. Median filtering is a proven way to remove image noise. To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, we do further study of the median filtering algorithm denoising. At the mean time we analyzed the mean filtering and wavelet transform algorithm, and compared them.)

matlab动画,描述布朗运动，质点有一定周期显示。(matlab animation, describing Brownian motion, particle cycle.)

说明：  简单的CI融合MATLAB程序，生成实际误差的协方差椭圆用于验证融合精度。(A simple CI fusion matlab program generates a covariance ellipse of the actual error to verify the fusion accuracy.)

车牌定位MATLAB实现，简单实用，首先通过图像预处理，然后通过颜色和投影来定位(License plate location MATLAB to achieve simple, practical, first by image preprocessing, then the color and the projection to locate)