BrainNetViewer_20181219

matlab压缩感知中的一种基于全变分正则化的重建算法——TVAL3(In compressed sensing, a reconstruction algorithm based on total variation regularization- TVAL3)

对于遥感图像，研究了一种基于基于Contourlet变换和分形压缩方法，方法具有一定的实用价值，程序包中有实验图片。(For the remote sensing images, a kind of transformation based on Contourlet and fractal based compression methods, the method has some practical value, experimental pictures in the package.)

压缩感知中利用增广拉格朗日方程解最小稀疏正则化的恢复算法(DAL solves the dual problem of (1) via the augmented Lagrangian method (see Bertsekas 82). It uses the analytic expression (and its derivatives) of the following soft-thresholding operation， which can be computed for L1 and grouped L1 (and many other) sparsity inducing regularizers. If you are interested in our algorithm please find more details in our technical report or in my talk at Optimization for Machine Learning Workshop (NIPS 2009).)

ostu与鱼群算法相结合，并且用matlab实现(ostu algorithm combined with the fish, and using matlab)

1、参数初始化； 2、形成边界削波数据； 3、波场初始化； 4、Zmax层波场延拓到深度Zmax-1； 5、Zi+1层波场延拓到深度Zi； 6、重复5，从Iz Nz-1开始，直到Iz 1，得测线上的频率—空间域波场； 7、频率-空间域波场对频率做反傅里叶变换，得时间-空间波场； (1, parameter initialization 2, the formation of boundary clipping data 3, wave field initialization 4, Zmax layer wave field extended to the depth of Zmax-1 5, Zi+1 layer wave field extended to the depth of Zi 6, repeat 5, starting Iz Nz-1 until Iz 1, the frequency of the test line- spatial domain wave field 7, frequency space domain wave field to frequency inverse Fourier transform, time- space field )

图形图象处理中的一个非常重要的特征的提取算法,zernike矩(Graphic image processing in a very important feature extraction algorithm, zernike Moment)

脑机接口中运动想象，经典算法共空间模式CSP(common spacial pattern)

数学形态学方法及其应用，老书不好找电子版啦，给大家发一个。超星版的(Mathematical morphology and its applications, the old books not easy to find electronic version of啦, give you hair a. Superstar Edition)

一个短小精悍的分水岭算法,用Matlab实现,程序简单易懂(A dapper watershed algorithm, using Matlab implementation, the program easy-to-read)

说明：  织物疵点检测，有GUI界面，可自动识别疵点并分类(Fabric defect detection, GUI interface, automatic defect identification and classification)