arrayFactor

说明：  介绍了一种基于Matlab语言的电力系统分析软件包.该软件包可完成潮流计算、连续潮流、小信号稳定分析、动态时域仿真及相量测量单元配置等方面的分析和研究.通过对同一个IEEE14节点系统进行潮流计算,结果表明,该软件包的计算结果正确,且具有一定精度.(Introduces a kind of based on Matlab language of power system analysis software package. This package flow calculation can be completed for small signal stability analysis trend of dynamic simulation and time domain phasor measuring unit configuration, and other aspects of the analysis and research on the same IEEE14 node flow calculation system, and the results show that the calculation results right of the package, and has a certain precision)

用matlab自带函数编写的随机森林进行预测分析，此程序曾应用在kaggle比赛上。(Matlab function that comes with writing random forests predictive analysis, this program has been used in the kaggle game.)

matlab中实现卡尔曼滤波和扩展卡尔曼滤波（EKF）的程序(matlab programes for Kalman filter and extended Kalman filter)

单核处理多特征融合(matlab实现——有数据提供）(Single-core processing multi-feature fusion)

一个用S函数写成的在dq坐标系中的双馈异步电机模型。(An S function written using dq coordinate system in the doubly-fed induction motor model.)

这是关于混沌理论及应用方面的基础资料,希望对大家有帮助,里面含有几个falsh信道模型(This is on the application of chaos theory and the basis of information you would like to help, which contains several falsh channel model)

使用matlab来实现直接序列扩频的调制和解调(Using matlab to achieve direct sequence spread spectrum modulation and demodulation)

Matlab程序设计与应用,从基础叫如何用MATLAB编程和它的强大运用(Matlab program design and application, from basic told how to use MATLAB programming and the use of powerful)

l algorithme mid-perpendiculaire en matlab

Fuzzy Logic, at present is a hot topic, among academicians as well various programmers. This book is provided to give a broad, in-depth overview of the field of Fuzzy Logic. The basic principles of Fuzzy Logic are discussed in detail with various solved examples. The different approaches and solutions to the problems given in the book are well balanced and pertinent to the Fuzzy Logic research projects. The applications of Fuzzy Logic are also dealt to make the readers understand the concept of Fuzzy Logic. The solutions to the problems are programmed using MATLAB 6.0 and the simulated results are given. The MATLAB Fuzzy Logic toolbox is provided for easy reference