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说明：  蚁群算法的另一种实现形式,通过全局的搜索,避免陷入局部解的改进程序(Another implementation form of ant colony algorithm, through global search, avoid falling into an improved program of local solution.)

Algorithm for drawing elipse

说明：  基于matlab的语音信号处理快速傅里叶变换程序(Fast Fourier Transform Program for Speech Signal Processing Based on MATLAB)

KPCA是一种PCA的改进方法,很值得一看,很实用!(KPCA is an improved method of PCA, it is worth a visit, it is useful!)

视频中静态目标背景下运动的物体的前景提取算法的实现。(The foreground extraction algorithm for moving objects in static background is implemented in video.)

使用MATLAB求图像的形状特征-7个不变矩，亲自测试过可以用(Using MATLAB to find the shape feature of the image - 7 invariant moments, which have been tested and used personally.)

基于matlab的语音信号处理快速傅里叶变换程序(Fast Fourier Transform Program for Speech Signal Processing Based on MATLAB)

基于采集的脑电导联信号，用matlab去噪和伪迹，最后绘制脑地形图。 去噪文件夹： FastICA_25文件夹为 fastICA函数；pca为pca 函数； av_sub伪迹减法去噪； ica_step1，ica_step2&pca 为ica与pca的去噪程序； wave_entro为小波熵的计算程序； topoplot为地形图函数； topo为画地形图程序；eloc32,eloc16为函数调用32导/16导的头皮电极分布位置 get_txt将采集的脑电数据转化为文本格式； readdata为依次读取文件夹中的一系列txt文件。(Based on the collection of brain conductivity signal, denoising using matlab, and pseudo-tracks, the final topographic map of brain mapping. Denoising folder: FastICA_25 folder function for FastICA pca function for PCA av_sub pseudo-trace subtraction de-noising ica_step1, ica_step2 )

说明：  该节主要介绍下matlab下的光流法以及一个研究物体检测方面的一个较好的工具箱 ：Piotr’s Computer Vision Matlab Toolbox .将这两个工具箱及其里面所有文件的路径都添加到matlab路径中去，这样的话基本上是可以用了。 Piotr’s 的工具箱里面的函数很多，也涉及到了很多方面，更主要的是关于目标检测方面的。(This section mainly introduces the optical flow under Matlab and a better toolkit for researching object detection: Piotr 's Computer Vision Matlab Toolbox. Add the two toolkits and all the files in the path to the MATLAB path, which is basically useful. There are many functions in the toolbox of Piotr 's, and there are many aspects involved)

基于PDAF的2目标数据关联算法源代码，很有用(PDAF based on the two target data association algorithm source code)