hm9

这是一个关于基于VCSOA的光开关的仿真程序。仿真程序基于传输矩阵法设计的，将整个器件在轴向按折射率的不同分成很多层。计算了在外部抽运（即泵浦，加在放大器上的工作电流）呈现周期性变化时，放大器将输出一系列的光脉冲，即光开关。 ( This is a simulation package for computing the characteristics of the VCSOA when acting as an optical switch, which is designed based on TMM( transfer matrix method). The whole device is splitted into many segments in the axis direction according to different index. When the external pump is a periodic signal, the output of the VCSOA would be a pulse train, which can be used as optical switch. )

变压变频调速 matlab simulink仿真(AC motor double closed loop speed control system MATLAB simulation)

Feeding antennas with proper signals can be difficult. The signal is often described as a voltage, and voltages are not well defined in electromagnetic wave formulations. There are several tricks to model voltage generators in such situations, and one is the magnetic frill. This model shows the basic steps of defining a magnetic frill voltage generator for a dipole antenna, and it also compares the resulting antenna impedance with known results.

Edge detection is a feature of this Code and you can find out the edges of an image seamelessly using matlab by this code

Paper for adaptive control system introduce

二连杆机械臂末端运动域计算，需要给定质量、杆长(Two-linkage manipulator end of the sports domain, the needs of a given quality, long rod)

mathews数值分析书的源代码，用matlab编写，第一章第十部分。(mathews numerical analysis of the book' s source code, using matlab, the tenth part of the first chapter.)

一个关于锁相环的介绍及码源，希望对于初学者有所帮助。分享给大家了！(Introduction of a phase-locked loop and the code on the source of hope for the beginners help. We share it!)

haar特征的提取，包括六种haar特征，再别人代码的基础上改进的，希望对大家有帮助。(haar feature extraction, including the six the haar characteristics, and the code of others on the basis of improvement, we hope to help.)

说明：  独立成分分析是近年来出现的一种强有力的数据分析工具。1994年由Comon给出了ICA的一个较为严格的数学定义，其思想最早是由Heranlt和Jutten于1986年提出来的。ICA从出现到现在虽然时间不长，然而无论从理论上还是应用上，它正受到越来越多的关注，成为国内外研究的一个热点。特别是从应用角度看，它的应用领域与应用前景都是非常广阔的，目前主要应用于盲源分离、图像处理、语言识别、通信、生物医学信号处理、脑功能成像研究、故障诊断、特征提取、金融时间序列分析和数据挖掘等。 ICA是一种用来从多变量（多维）统计数据里找到隐含的因素或成分的方法，被认为是主成分分析（Principal Component Analysis, PCA）和因子分析（Factor Analysis）的一种扩展。对于盲源分离问题，ICA是指在只知道混合信号，而不知道源信号、噪声以及混合机制的情况下，分离或近似地分离出源信号的一种分析过程。(Independent Component Analysis, ICA)