face-detection

说明：  粒子群加连续潮流法，能优化变压器分接头，进行多变量优化，使系统非常稳定(PSO plus continuous power flow, transformer taps can be optimized, multi-variable optimization, making the system very stable)

各种形式的方向图，波束形成中有常规波速形成，等等(Various forms of pattern, with a conventional beamforming beamforming, etc.)

在YCbCr通道上，对人的嘴唇的寻找，通过大量数据样本得到的嘴唇颜色区域，效果不错，这个程序只是在静态图片里寻找，对做嘴形识别的人有帮助(Channel in the YCbCr on the lips of people search through a large amount of data samples to be the color of the lip region, the effect is true that this procedure only to find a static picture of the so-shaped mouth to help people identify)

说明：  本目录主要包括：文档和两个源代码。 其中一个源代码是识别程序的，另一个是一个矩阵类库的，书里面也使用过，所以一并附上。 因为已经保存了训练好的网络权值，所以第一次使用识别程序时，可以直接运行\\Release目录下的可执行文件，然后对图片目录中的测试图片进行读入、识别。 当然读者也可以自行用训练样本训练网络，不过要特别注意训练样本的选择，否则可能造成识别率很低。训练样本选择的原则是，尽可能的有代表性，在训练时间不至于太长的情况下，训练样本数目尽量多。 ( This directory includes: documentation and two source code. One of the source code is to identify the procedure, the other is a matrix class library, the book which is also used, so be attached. Because it has saved the trained network weights, so the first use of identification procedures, you can directly run \ \ Release directory of the executable files, and then tested on the images directory to read pictures, identification. Of course, readers are free to use the training samples to train the network, but pay special attention to training samples, otherwise it may cause very low recognition rate. Training sample selection principle is that as far as possible, representative, in the long training time Buzhi Yu s case, the number of training samples as much as possible. )

introduction to matlab sw.. it designed by me..it is usefull for student

实现EKF滤波在导航重点的应用，精度相对较高，(achieve EKF filter in navigation key applications, a relatively high accuracy.)

关于矢量控制仿真模型，大家可以参照做自己的模型(On vector control simulation model, we can refer to do his own model)

用蚁群算法解决TSP问题，其中有基本蚁群，蚁密系统，还有自己提出的改进算法，自带GUI界面。(TSP with ant colony algorithm to solve the problem, including the basic ant colony, ant density systems, as well as the improved algorithm itself, its own GUI interface.)

The paper presents a Matlab package for the linear time-(in)dependent Schr¨odinger equation, based on the Hermite spectral method. The matrix form of the discretized problem is suitable for the linear algebra capabilities of Matlab. The high accuracy and efficiency of the algorithm is proved by many examples taken from the literature.

基于小波变换模极大的多尺度图像边缘检测matlab源代码(Based on wavelet transform modulus maxima of multi-scale edge detection matlab source code)