gabor

标准的粒子群算法，还有几个简单的粒子群函数，并作出了简单的分析(The standard particle swarm algorithm, there are a few simple function of particle swarm, and made a simple analysis)

image enhancement matlab code ,can improve the picture quality ,especially for the image with low quality .(image enhancement Matlab code, can improve the picture quality. especially for the image with low quality.)

矢量网络分析仪的驱动程序，可以用matlab调用(Vector network analyzer driver, you can use matlab call)

CombineCoeff function

使用robotic toolbox 可自行定义1至7自由度的机器人，并显示和移动 可以输入任意机器人参数，注意sigma=0是旋转关节，sigma=1为平移关节(Use robotic toolbox definable 1-7 DOF robot, and display and mobile robot can enter any parameters, note sigma = 0 is rotating joints, sigma = 1 for translational joints)

基于永磁同步的电机直接转矩控制的simulink仿真(permanent magnet synchronous motor direct torque control)

MATLAB神经网络功能的使用教程，详细介绍了神经网络技术的功能、原理及编程(The use of MATLAB neural network function tutorial, neural network technology was introduced in detail the function, principle and programming)

l1-magic and leach protocol

最新的支持向量机工具箱，有了它会很方便 1. Find time to write a proper list of things to do! 2. Documentation. 3. Support Vector Regression. 4. Automated model selection. REFERENCES ========== [1] V.N. Vapnik, "The Nature of Statistical Learning Theory", Springer-Verlag, New York, ISBN 0-387-94559-8, 1995. [2] J. C. Platt, "Fast training of support vector machines using sequential minimal optimization", in Advances in Kernel Methods - Support Vector Learning, (Eds) B. Scholkopf, C. Burges, and A. J. Smola, MIT Press, Cambridge, Massachusetts, chapter 12, pp 185-208, 1999. [3] T. Joachims, "Estimating the Generalization Performance of a SVM Efficiently", LS-8 Report 25, Universitat Dortmund, Fachbereich Informatik, 1999. (The newest work tools of svm,it will be very convenient to have it.)

实现DV-Hop定位算法的仿真,自动生成一定节点数的随即分布图，给出仿真结果的各点定位误差，用曲线图形显示，并可以计算平均误差。(DV-Hop simulation. Produce a randomly distributed nodes and then simulate and give the location error of each node, showing it in figure, and calculate the average error. )