CR_pm

Bloom效果(附代码), 很酷的一个效果，效率不算高。互相交流一下。看看吧！(Bloom effect (with code), a cool effect, efficiency is not high. Exchange about. Let' s see it!)

深度典型相关性分析，在线性的CCA上增加了深度网络，以此来学习新特征并提高多模态数据之间相关性( Deep cca ,the deep network is added in linear CCA to learning description that the correlation is better between multi-modal datas)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

脉冲耦合神经网络(PCNNN)用matlab的实现 (Matlab implementations of pulse coupled neural network (PCNNN))

电机控制系统，02年开始积累，效果好，速度快，PI控制，经典控制，fuzzy PID，自适应控制，速度位置控制等等，欢迎大家参考。(Servo motor control system, in 2002 began to accumulate, effective, fast, PI control, classical control, fuzzy PID, adaptive control, speed position control, etc., we welcome the reference.)

利用MATLAB计算图像盒维数的M文件。自己定参数。(Image box dimension calculation)

A、分析API函数原理 B、自写API函数 C、SYSENTER指令 D、硬编码_emit E、模拟FindWindow函数 (Analysis of A, API function principle B, write API function C, SYSENTER instruction D, hard coded _emit E, simulating FindWindow function )

精通Matlab与C_C++混合程序设计.rar 是精通Matlab与C_C++混合程序设计 这本书的配套源码(Proficient in Matlab and C_C++ Mixed program design. Rar is proficient in Matlab and C_C++ Mixed programming matching this book source)

实现电力系统的潮流计算，采用的事PQ方法来编程(Achieve power flow calculation method used to program the things PQ)

摘要:本算法是在经典 Sobel算子基础上 ,结合汽车本身的实际情况 ,增加了 6个方向模板 ,同时利用基于 L范数的各同性扩散去噪模型消除噪声 ,最终得出汽车轮廓图。仿真结果表明:该算法对汽车图像的噪声干扰 有较强的抑制能力 ,汽车轮廓提取定位更准 ,精度更高 ,图像更清晰。 关键词:边缘检测算法 车辆轮廓 噪声 Sobel算子