Image_filtering

一个实例搞定libsvm分类《Learn SVM Step by Step》by faruto2011系列视频-应用篇(An instance to get the the libsvm classification " Learn the SVM Step by Step " by faruto2011 Series Video- Beginner s Guide )

matlab教程，有关电路分析的运用，很好的一本书，希望对你有所帮助(matlab tutorial, use the circuit analysis, a good book, I hope for your help)

Dandn文件给出了输入参数的名称及格式 即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Dandn file name given input parameters and format that is called prim before Input adjacency matrix D and node numbers n input prim are two lines of the matrix T, the number of up and down two lines can be connected to the corresponding node)

simulink此书对于初学者来说，比较适合，简单介绍了一些simulink的相关模块等(simulink)

最经典AdaBoost实现，适合初学，有大量详细的注释，容易理解(This a classic AdaBoost implementation, in one single file with easy understandable code. The function consist of two parts a simple weak classifier and a boosting part: The weak classifier tries to find the best threshold in one of the data dimensions to separate the data into two classes-1 and 1 The boosting part calls the classifier iteratively, after every classification step it changes the weights of miss-classified examples. This creates a cascade of "weak classifiers" which behaves like a "strong classifier" 。)

说明：  用于pid控制的Z-N整定的matlab程序，调整阈值可得到精确解，适合初学者学习理解。(The matlab program of Z-N tuning for PID control can get accurate solution by adjusting the threshold value, which is suitable for beginners to learn and understand.)

最短路径的计算,是我自己变得,比较适合建模用,希望对大家有用.(The shortest path calculation, is my own to become more suitable for modeling with the hope that be useful to everyone.)

OPTIMISATION OF SIGNAL BY PARTICULE SWARM METHOD

本文提供了彩色图像的简单降采样，缩小，及方法功能，以及图像成倍给打上马赛克的matlab有效可执行代码，希望对大家的学习有帮助。(This article provides a simple down-sampled color image, narrow, and functional method, and an image mosaic matlab doubled to effectively marked executable code, we hope to help learning.)

LFM的信号的产生，性能分析和模糊函数，LFM信号接收的匹配滤波器输出(LFM signal generation, performance analysis and fuzzy functions, LFM matched filter output of the received signal)