matlab code for implementation in gabor

《求解全局优化问题的混合自适应正交遗传算法》一文的源码，见软件学报2010年第6期的文章。该代码中的自适应正交叉遗传算子有极强的搜索能力，特别适合高维工程函数模型的优化，如机器人多自由度的数学模型优化。虽然本人虽已不从事什么学术上的研究，但若你借鉴了其中的代码或者思想，请把该文献加入到你的参考文件中，谢谢。(" Global Optimization Problem with adaptive orthogonal genetic algorithm," a source text, see the software section 6 of the 2010 article. The code is cross-adaptive genetic operators have strong search capabilities, especially for high-dimensional model of the optimization of engineering functions, such as robots and more degrees of freedom mathematical model optimization. While engaged in what I though no academic research, but if you borrowed the code or ideas, please send the document to your reference file, thank you.)

基于matlab软件的联络线功率波动风险评估的源代码(Matlab software-based tie-line power fluctuation risk assessment of the source code)

编写的重构程序中，为了比较分解图像和重构图像，首先绘出经过小波分解的图像，然后再进行重构。(Prepared by the reconstruction program, in order to compare the decompose image and image reconstruction, first drawn by Wavelet Decomposition of an image and then refactor.)

利用GPIB接口控制K2306上下电，电压5V。(The control of K2306 electric interface using GPIB, voltage 5V. )

用MATLAB编写的语音信号的短时分析，主要包括：分帧、短时能量、短时平均幅度、短时过零率、 LmCPhB函数、短时幅度差、倒谱、复倒谱 lnRrOUM系数计等，是我多年调试通过的程序 (MATLAB prepared with short-term analysis of the speech signal, including: framing, short-time energy, short-term average amplitude, short-term zero rate,LmCPhB function, short-term amplitude difference, cepstrum, cepstral lnRrOUM coefficient meter, etc. , is a program debugging through my years of )

Orderbased crossover takes two parents P1,P2 and performs order based crossover by Davis.

说明：  用于TRL去嵌套，得到待测件真实的S参数。(It is used for TRL de nesting to get the real s parameters of the parts to be tested.)

说明：  台湾林教授支持向量机工具箱，支持，机器学习，人工神经网络，深度学习，分类(Support Vector Machine Toolbox, support MATLAB, machine learning, artificial neural network, deep learning, classification)

Source code for 2D Gabor filter

准谐振变流器matlab/simulink仿真程序，观察模型特性(quasi-resonant converter Matlab/Simulink simulation program to observe the model characteristics)