LKguangliu

This code is a special calculation between DEA and MCDA/ PROMETHEE II.

Hilbert-Huang Transformmatlab程序，及word版程序详单，这种算法用于机械行业故障诊断(Hilbert-Huang Transformmatlab procedures, and single-word version of the procedure in detail, the algorithm for fault diagnosis of machinery industry)

本教程提供了使用MATLAB的实践性指导，它基于MATLAB6.0版，内容由浅入深，特别是本书对每一条命令的使用格式都作了详细而又简单明了的全英文说明(This tutorial provides a practical guide to using MATLAB, which is based MATLAB6.0 version of the content digest, especially for the book using the format of each command are detailed yet simple and clear instructions in English)

Pegasis protocol in matlab for routing analysis

WTMM中的一个很重要的m文件，给MATLAB用的(use for WTMM，an important part， for MATLAB)

最优化潮流计算的matlab程序代码，可以试用于初级学者(Optimal power flow)

锅炉液位控制的MATLAB仿真方案，很好很详细(Boiler Level Control of the MATLAB simulation program)

围绕粒子群的当前质心对粒子群重新初始化.这样，每个粒子在随后的迭代中将在新的位置带着粒子在上次搜索中获得的“运动惯性”（wvi）向Pi，Pg的方向前进，从而可以在粒子群的运动过程中获得新的位置，增加求得更优解的机会.随着迭代的继续，经过变异的粒子群又将趋向于同一点，当粒子群收敛到一定程度时又进行下一次变异，如此反复，直到迭代结束.(particle swarm around the center of mass of the current PSO reinitialization. Thus, Each particle in the next iteration will be in the new location with particles in the last search was the "inertia" (wvi ) Pi, Pg orientation, and thus can PSO course of the campaign was a new position, increase seek better solutions opportunities. With the continued iteration, after variation of PSO will tend to the same point. When PSO converge to a certain extent when the next variation, so repeatedly, until the end of iteration.)

This Matlab Code is Internal/ External discrimination in Power transmission Line Using traveling wave based methods.

The local binary pattern (LBP) is a simple yet very efficient operator which labels the pixels of an image by thresholding the neighborhood of each pixel and considers the result as a binary number. Perhaps the most important property of the LBP operator in real-world applications is its invariance against monotonic gray level changes caused, for example, by illumination variations. Another equally important is its computational simplicity, which makes it possible to analyze images in challenging real-time settings. LBP is also very flexible: it can be easily adapted to different types of problems and used together with other image descriptors