MUSIC_algrithms

本matlab程序的功能是利用人工神经网进行故障模式识别(Fault recognition using ANN)

说明：  二分法，牛顿法，黄金分割法的matlab实现。(Dichotomy, Newton method, the golden section method matlab implementation.)

pid 参数整定代码，使用简单，适合初学者学习使用(The pid parameter tuning code, simple to use, suitable for beginners to learn how to use)

wsn下的leach算法，是一种最基本的LEACH算法(wsn under leach method is a basic algorithm for LEACH)

说明：   本书介绍了在Microsoft Windows 98、Microsoft Windows NT 4.0和Windows NT 5.0下程序写作的方法。这些程序用C语言编写并使用原始的Windows Application Programming Interface（API）。如在本章稍后所讨论的，这不是写作Windows程序的唯一方法。然而，无论最终您使用什么方式写作程序，了解Windows API都是非常重要的。(This book describes the Microsoft Windows 98, Microsoft Windows NT 4.0 and Windows NT 5.0 under the process writing approach. These procedures used C language and use the original Windows Application Programming Interface (API). As discussed later in this chapter, and it is not writing the only way to Windows program. However, regardless of how you use the writing process, understand the Windows API are very important.)

AHP算法的matlab程序，在数学建模及日常决策中经常使用。(AHP algorithm matlab procedures, the mathematical modeling and daily decisions are frequently used.)

he files in this package comprise the Matlab implementation of a foreground segmentation algorithm based upon graph cuts, described in: Better Foreground Segmentation Through Graph Cuts, N. Howe & A. Deschamps. Tech report, http://arxiv.org/abs/cs.CV/0401017. The file extractForeground.m contains a sample function that will perform a complete foreground segmentation for static camera video. It uses a number of parameters, which are described in the documentation. An attempt was made to choose sensible default values, but they may need to be adjusted for some videos. More generally, the implementation in extractForeground.m is only a suggestion of how the graph-based segmentation might be used. The same approach can be applied with other (perhaps time-adaptive) background models. The key step is at line 113 of the code, once the deviation array has been created. The graph-cut segmentation can be applied similarly to a deviation matrix computed in any other way.

粒子群算法，自己编写的，可以用，matlab语言环境(Particle swarm optimization, I have written, you can use, matlab language environment)

一个matlab手势识别demo，可通过训练，识别剪刀石头布的手势。(A gesture recognition matlab demo, through training, to identify Rock Paper Scissors gesture.)

说明：  识别视频中特定颜色的圆，在图像上标记，并作出路径(Identify the circles of a particular color in the video, mark them on the image, and make the ways out)