IbrahimTimeDomainMethod

一本不错的matlab教程，从入门到深入，全程采用实例讲解，通俗易懂。(A good tutorial matlab, from entry to the in-depth, full use of examples to explain, easy to understand.)

Generate a 3D point plot of L=(x,y,z) using the values in the vector c to determine the color of each point. If c is empty, then z (column 3 of L) is used to color the plot. The data points are sorted so that plot3 is only called once for each group of points that map to the same color. The upper and lower limits of the color range (and the z axis) can be defined with crange. This is useful for creating a series of plots with the same coloring. The colormap (but not the colorbar) is flipped upside down if crange is given as [max min] instead of [min max]. The figure handle is returned if an output argument is given.

单轮abs仿真 对比有无abs仿真效果 车轮转速 车身转速 滑移率(The single-wheel abs simulation comparison with or without simulation of the effect of abs wheel speed body speed slip ratio)

Code implementation of a Kohonen Neural Network that solves the Traveling salesman problem for 500 cities.

1. SOH的关于IMU算法的源代码和测试工程，效果非常不错！是SOH硕士论文的代码！(1. SOH source code and test engineering on the IMU algorithm, the effect is very good! Thesis is SOH code!)

本程序采用matlab编码，一共有包括帧间差分法、背景差分法、光流法、混合高斯模型法四种方法来实现红外目标检测的功能，代码检测易懂，适合初学者多多借鉴~(This procedure using matlab coding, a total including the inter-frame difference, background subtraction, optical flow method, Gaussian mixture model approach are four ways to achieve infrared target detection capabilities, code detection understand for beginners learn a lot ~)

这是编好的程序[cp,zq]=grnn(data,yy) gaussian SVM，GRNN 的正确率，击中率，正确拒绝率在19个先天盲人中的为： SVM GRNN 0.68421 0.73684 0.83333 0.83333 0.42857 0.57143 解压到MATLAB的TOOLBOX文件夹里，然后刷新工具箱，在命令窗口输入：rehash toolboxcache。 然后就可以用我的那个函数了。( It is programmed procedures [cp, zq] = grnn (data, yy) gaussian SVM, GRNN accuracy rate, hit rate and correct rejection rate in the 19 congenital blind as follows: SVM GRNN 0.68421 0.73684 0.83333 0.83333 0.42857 0.57143)

说明：  非常好的MATLAB学习书籍，非常值得下载，一定能对用户有很大帮助。(MATLAB to learn a very good book, well worth downloading certainly of great help to users.)

huffman coding implementation

comparison between different buck circuits