Economic-Dispatching

说明：  针对故障诊断，本程序为多工况故障诊断，利用gmm对TE过程实现了故障检测，效果很好(According to the fault diagnosis, the program for fault diagnosis of the condition, TE process to realize fault detection using GMM, the effect is very good)

【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之角分割与滤波方法([64 line laser radar sensor of the unmanned] angle velodyne hdl64es2 64 lines LIDAR point cloud data processing method of segmentation and filtering)

模块化变换器的matlab仿真,17电平仿真。很实用，通过示波器可以查看各种电压波形分析谐波(multilavel Converter simulation )

石油测井解释单孔隙度分析程序POR源程序 可计算地层孔隙度、地层含水饱和度、渗透率、泥质含量等参数；划分砂泥岩剖面；判断油气水层 (Oil log interpretation porosity analysis program POR single source Calculate formation porosity, formation water saturation, permeability, clay content and other parameters divided sand shale section determine gas-water layer)

EMT BOOK FOR ENGINEERING

一本介绍了如何使用Matlab的工具书，新手特别容易上手(a file demonstrates how to use Matlab,new learner can handle matlab quckily.)

matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下，谢谢，呵呵(matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He)

说明：  提出了一种改良的可应用于3GPP-LTE控制信道的信道估计和检测的方法。(A modified control channel can be used in 3GPP-LTE channel estimation and detection methods.)

constant control of zsi

Power distribution systems have tie and sectionalizing switches whose states determine the configuration of the network. Reconfiguration of distribution network is achieved through switching operation on switches of distribution network branches. Power companies are interested in finding the most efficient configuration for minimization of real power losses and load balancing among distribution feeders to save the energy and enhance the operation performance of distribution system. The objective of this thesis is to show that the ant colony optimization algorithm can be used successfully in the reconfiguration of electrical distribution networks to minimize the power losses of the system and to balance the loading of the feeders. This work is to provide a basis for power companies to use it in the reconfiguration of the distribution networks to reduce the operational costs and to enhance the performance of their networks.