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Hermite脉冲时域和频域波形。可完全独立运行。(Hermite pulse time domain and f domain)

基于传输矩阵法（TMM）计算VCSOA（垂直腔半导体光放大器）的稳态增益的程序。由于是从将输入端功率Pin作为已知条件，程序用Matlab优化工具箱中的fsolve函数计算了满足边界条件时的输出功率。这对于相关研究开发都是较好的资料。(This is a set of source codes, which are used for calculating the steady state gain of VCSOA based on the transfer matrix method(TMM). Since the input power of the VCSOA is regarded as a already-known condition, this program, the function "fsolve" in the Matlab Optimization Toolbox is used for obtaining the output power of the VCSOA when the input power is at some value. This is a good material for further studying the related problems, especially when using the Matlab for device simulations. )

DC power is steady and continuous, with an electrical charge that flows in only one direction. When the output of DC power is represented on a graph, the result would be a straight line. AC power, on the other hand, flows back and forth in alternating directions so that, when represented on a graph, it appears as a sine wave, with smooth and regular peaks and valleys. A power inverter uses electronic circuits to cause the DC power flow to change directions, making it alternate like AC power. These oscillations are rough and tend to create a square waveform rather than a rounded one, so filters are required to smooth out the wave, allowing it to be used by more electronic devices. AdChoices

数字图象处理与机器视觉Visual C++与Matlab实现，光盘源代码(Digital image processing and machine vision Visual C++ with Matlab, CD-ROM source code)

本程序为基于RBF神经网络上界自适应学习的滑模控制，适用于实际无法测量上界值的情况。(This procedure is based on the RBF neural network to learn the upper bound of adaptive sliding mode control, can not be applied to the actual measurement of the upper bound values.)

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使用说明数值计算部分,matlab7的数值计算部分学习。(Instructions for use numerical part, matlab7 numerical part of learning.)

Code to compute superpixels.

该M文件的编写将方波响应转化为脉冲响应的程序和将脉冲响应转化为方波。(The preparation of the M file into the square wave response procedures and the impulse response into a square wave pulse response.)

Enhanced Normalized Cross Correlation for Stereo Correspondence