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说明：  communication matlab

A Quadrotor simulation that is performed in MATLAB and SIMULINK

计算SENSE重建图像中的g-factor,这是并行磁共振成像SENSE算法的关键一步(G-factor is the metric to quantify the amplificaiton of noise power in reconstructing SENSE accelerated image. The detail was presented in Pruessmann s 1999 Magn. Reson. Med. paper. In theory, g-factor is the pixel-by-pixel ratio of the image variance between the SENSE reconstructed image and un-accelerated image. And g-factor depends on: (1) the k-space data trajectory (2) coil sensitivit profiles (3) noise covariance matrix of the array coil)

说明：  采用墨西哥帽子小波函数，构造一维连续小波变换的程序(The use of Mexican hat wavelet function, construction of one-dimensional continuous wavelet transform procedure)

MATLAB 7.0从入门到精通：MATLAB 7.0从入门到精通随书光盘，书籍随书光盘的所有源码(MATLAB 7.0 from the Introduction to Mastery: MATLAB 7.0 from entry to the master CD with the book, books, CD-ROM with all the source books)

《MATLAB程序设计教程》源代码-2660为《MATLAB程序设计教程》附带全部代码(" MATLAB Programming Guide" for the source code-2660 " MATLAB Programming Guide" with all the code)

这是一个利用MATLAB利用PCA实现的简单分类程序，对于模式识别的初学者学习PCA知识并进行仿真会有很大帮助，其中male.txt和female.txt是训练样本，test.txt是测试样本，分类效果非常好。(This is a use of MATLAB to use a simple classification of the PCA implementation process, the PCA pattern recognition study for beginners and simulation of knowledge would be of considerable help, and one of male.txt samples female.txt training, test.txt is the measurement, very good classification results.)

说明：  这是一个基于蚁群智能算法的组播QOS路由问题程序代码。(This is a multicast QoS problem based on AC.)

该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此，一些方法被 re-implemented，即使当其源代码不可用时，matlab 最初，具有方法。 例如 re-implemented kmeans 算法。(The aim of this toolbox is to present source codes in matlab as another kind of references for helping people to understand computer vision methods. Thus, some methods were re-implemented, even if matlab has the methods originally, when their source codes are not available. For example, kmeans algorithm was re-implemented. Howerver, notice that the built-in functions are faster than functions created in this toolbox because the built-in functions are mostly written in C. )

关于用遗传算法改进BP神经网络的matlab实现(转引) ga优化神经网权值&阈值程序。 优化的基本原理和过程很多论文可以查到，在此不必赘述我就把用gaot5的小程序贴在下面吧，也是y=1/x(为看的方便，比较繁杂的也有) (About matlab improved BP neural network using genetic algorithm implementation (quoted) ga optimizing neural network weights & Threshold Program. Optimization of the basic principles and procedures can be found in many papers, this does not have to go into details, I' ll stick with gaot5 small program below it, is y = 1/x (for watching convenience, there are also more complicated))