fdtd22

蚁群算法的matlab源码,对matlab初学者有一定帮助，对了解蚁群算法也有易处(Ant colony algorithm matlab source)

内螺旋覆盖搜索的一个算法实现，运行为plotdmap（a,b,c,d）a,b,c,d为数字，a,b为栅格地图的长宽，c为搜索目标的数量，位置自动随机出现杂地图上，d为搜索车辆的数量，位置分布在地图最外围。(Cover a spiral search algorithm, run for the plotdmap (a, b, c, d) a, b, c, d for the number, a, b for the grid map of the length and width, c is the number of search targets, location Auto randomly mixed map, d the number of vehicles for the search, location map of the distribution in the outermost.)

DC-DC升降压电路,主要实现升压和降压功能，采用PI电压电流双环控制(DC-DC buck-boost circuit, the main step-up and step-down function, using the PI voltage and current loop control)

matlab读取YUV视频数据参考程序，matlab实现(matlab read YUV video data reference program, matlab achieve)

这个例子示出了充放电时的超级电容器的模式。该电路示出了与电池超级电容器的一个简单的杂交。超级电容器被连接到降压/升压转换器和电池连接到升压转换器。电池的功率由一个速率限制器块，因此瞬态功率由超级电容器供给到DC总线限制。(This example shows the supercapacitor model during charge and discharge. The circuit illustrates a simple hybridization of a supercapacitor with a battery. The supercapacitor is connected to a Buck/Boost converter and the battery is connected to a Boost converter. Power of the battery is limited by a rate limiter block, therefore the transient power is supplied to the DC bus by the supercapacitor.)

本代码是数理统计与MATLAB工程数据分析一书中第8章的原代码，对本章学习有很大帮助。(This code are of mathematical statistics and MATLAB data analysis project, a book in Chapter 8 of the original code, the study of this chapter are very helpful.)

国外一学者开发的数据描述方法的源代码，几乎包括了所有的数据描述方法，有SVDD，KSVDD等等，将会是一个很好的用于野点检测和模拟识别的工具箱，可直接使用（本人已用过）(foreign scholars development of a data description of the source code, including almost all of the data description, have SVDD, KSVDD etc., will be a good field for the detection and identification of the simulation toolkit, can be used directly (I have used).)

利用matlab编程实现的大数据处理工具，通过分析数据规律，得到其最佳分布参数(Programming using matlab big data processing tools, by analyzing the data rule to obtain the optimal distribution parameters)

求多项式的值y=ployval(p,x)：计算x点处多项式值 有理多项式 有理多项式求导：[q,r]=polyder(a,b)(matlab DESIGN)

说明：  微弱信号的提取检测和分析 用matlab实现的源代码 首先计算输入信号的均值、均方值、方差、频谱及功率谱密度，确定输入信号中包含着有用信号。然后提取有用信号，并要求计算提取信号的均值、均方值、方差、概率密度、频谱及功率谱密度，并画出曲线(The extraction of weak signal detection and analysis)