1SpectralClustering_V1_1

蒋庆堂先生大作。测试小波光滑性（Soblev指数)(Mr. Jiang Qingtang masterpiece. Test wavelet smoothness (Soblev index))

NMF在对Iris数据集上进行将为处理。(NMF:dimension reduction in the dataset Iris)

说明：  对于给定的信号数据，用emd进行信号分解得到固有模态函数imf(implement emd to obtain imfs)

this code contains coding of ofdm simulation. this may helpfull

this program estimate cumulant order (8,0) for mqam modulation classification and plot them

基于双端电气量的故障测距，里面的输电线路是分布式输电线路，所以该模型已经考虑到了分布参数对测距的影响，能进行稳定而精确的测距！(Based on samples at both ends of the fault location, inside the transmission line is a distributed transmission line, so that the model has taken into account the effect of the distribution parameters ranging, enabling stable and accurate distance!)

鲁棒估计中的Huber估计，带有界面，可视化好，C#源码(Huber estimation in robust estimation, C# source code)

说明：  微电网的提出旨在实现分布式电源的灵活、高效应用，解决数量庞大、形式多样的分布式电源并网问题 。 开发和延伸微电网能够充分促进分布式电源与可再生能源的大规模接入，实现对负荷多种能源形式的高可靠供给，是实现主动式配电网的一种有效方式，使传统电网向智能电网过渡。(The purpose of micro grid is to realize the flexible and efficient application of distributed power, and to solve the problem of large number and various forms of distributed power grid connection. The development and extension of micro grid can fully promote the large-scale access of distributed power and renewable energy, and realize the high reliable supply of various energy forms of load. It is an effective way to realize the active distribution network, and make the traditional power grid transition to the smart grid.)

本书第一章系统讲述 MATLAB6.5 的集成工作平台，引导读者初会MATLAB 基本用法。 第二、三章系统叙述MATLAB6.1 的四大基本数据类型（数值数组、字符串数组、元胞数组、构架数组），至于其它扩展数据类型（函数句柄、符号数据、内联函数、unit 数组、稀疏类）则另辟章节专述。此后，本书用九个独立章分述MATLAB6.5 的数值计算、符号计算、函数和数据可视、面向对象编程、GUI 交互操作界面设计、EXE 独立应用程序生成、实现不同软件平台交互的API、M-book 数据图形文字环境集成等八大通用功能。本书用专门的一章深入浅出地阐明SIMULINK 的分层建模、仿真功能、与MATLAB 交互的功能。(This book chapter describes the system integration work MATLAB6.5 platform to guide the reader will be the beginning of the basic usage of MATLAB. Second, the system described in Chapter Four MATLAB6.1 basic data types (numeric arrays, string arrays, cell arrays, structure arrays), while the other extended data types (function handle, symbol data, inline functions, unit array , sparse class) then open another chapter specifically stated. Since then, the book chapters are described by nine independent MATLAB6.5 the numerical computation, symbolic computation, functions, and data visualization, object-oriented programming, GUI interactive interface design, EXE standalone application generation software platform to achieve interaction of different API, M-book data in graphical environment for integration of the eight general-purpose language features. This book devoted a chapter in layman s language to clarify the hierarchical SIMULINK modeling, simulation capabilities, and the MATLAB int)

我从网上下载了一个GA－PSO算法，试着利用GA和PSO组合的策略进行优化，结果算法很问题，效率和不错。我下载原始算法，有一个问题就是它是针对所有的设计变量上下限都是一样的，所以我对程序进行了修改与改进，现在可以处理上下限不一致的问题，同时fix了一些bug。(GA GA and PSO algorithm matlab program combined ion group When doing optimization, first choose the GA algorithm, but the instability of the GA (or into a local optimum) it drives people crazy, even after twice the difference results can sometimes reach 30 or more, but because of time reason, I had to choose the optimal 1000, then the minimum of which the most optimal solution. Although the problem is considered solved, but will be from an academic, which makes Ben is very embarrassing. So, I downloaded a GA-PSO algorithm, try to use a combination of GA and PSO optimization strategy, the results of algorithm is the problem, efficiency and good. I downloaded the original algorithm, there is a problem is that it is the design variables for all upper and lower limits are the same, so I had to modify and improve the program, can now handle upper and lower limits inconsistencies, and fix some bug.)