xindaoshuailuo

激光作为21世纪四大发明之一，在各个行业积极发挥着作用，这里介绍了各种常用激光器的参数和应用范围(Laser as a 21st century one of the four great inventions in various industries to actively play a role in a variety of commonly used lasers presented here the parameters and scope of application)

混沌工具箱ver.2.0,程序没问题，可以用。有c-c法求时延和嵌入维数的，求最大李雅普诺夫指数的等。(Chaos Toolbox ver.2.0, the program is no problem, you can use. There cc method for delay and embedding dimension, for the largest Lyapunov exponent and so on.)

Three-phase thyristor converter 变频器，来自mathworks 程序。(Three-phase thyristor converter inverter, from MathWorks procedures.)

这个一个MATLAB的编写的模拟退火算法程序！希望对大家有帮助！(the preparation of a MATLAB simulated annealing procedures. We want to help!)

微带多模谐振器的谐振频率的提取程序，就是在已知线宽，线长和介质基底的情况下如何计算得到其多个谐振频率。学习多模谐振器数值分析的同学可以参考一下。(Multi-mode microstrip resonator resonance frequency extraction procedure is known in the case of the line width, line length and the dielectric substrate to which a plurality of resonance frequencies calculated. Learning multimode resonator numerical analysis of the students can refer to.)

打开摄像并进行照相eventdata reserved - to be defined in a future version of MATLAB handles structure with handles and user data (see GUIDATA) If Enable == on , s on mouse press in 5 pixel border. Otherwise, s on mouse press in 5 pixel border or over text3. (The JPG file RGB value is displayed in the txt documenteventdata reserved- to be defined in a future version of MATLAB handles structure with handles and user data (see GUIDATA) If Enable == on , s on mouse press in 5 pixel border. Otherwise, s on mouse press in 5 pixel border or over text3. )

此源码主要功能是在图像分析时可以追踪图区域边界，在图像分割、描述和识别中有较大的用途(The main function of this source is in the image analysis can track map of regional borders, in the image segmentation, description and identification of a greater use of)

站点降水变化趋势可视化界面编程，站点随时间的变化的可视化界面。(good good good good good good good good good good good good good good good good good good good good good good good good good good vgood )

一种智能优化算法-人工神经网络算法的matlab源程序(artificial neural network)

基于核主元分析（KPCA）的工业过程故障检测，代码已优化，运行效率高，有详细的注释，附有训练数据和测试数据。(Achieves fault detection of industrial processes based on Kernel Principal Component Analysis (KPCA); the code has been optimized for high operational efficiency; detailed notes are attached with training data and test data.)