Watermarking

综合了主动学习和半监督学习的多项算法，很有价值的学习资料(Combination of active learning and a number of semi-supervised learning algorithm, learning valuable information)

dct for compression jpeg

adaboost程序，演示程序，直接可以运行，修改部分程序即可运用到自己的应用中(adaboost, presentation program can run directly modify parts of the program can be applied to their own applications)

MATLAB code to simulate the TAylor Green Vortex problem

BP神经网络：是一种按误差逆传播算法训练的多层前馈网络，是目前应用最广泛的神经网络模型之一。BP网络能学习和存贮大量的输入-输出模式映射关系，而无需事前揭示描述这种映射关系的数学方程。它的学习规则是使用最速下降法，通过反向传播来不断调整网络的权值和阈值，使网络的误差平方和最小。BP神经网络模型拓扑结构包括输入层（input）、隐层(hide layer)和输出层(output layer)。(BP neural network: a Press the front back propagation algorithm to train multilayer feedforward network is one of the most widely used neural network model. BP network can learn and store large amounts of input- output mode mappings without prior reveal mathematical equations that describe this map. It' s learning rule is to use the steepest descent method, through a reverse spread to constantly adjust the network weights and thresholds, so that the minimum squared error of the network. BP neural network topology, including the input layer (input), hidden layer (hide layer) and output layer (output layer).)

用于gps单点定位的matlab程序，通过读取.O和.N文件进行定位(For single point positioning gps matlab program to locate files by reading .O and .N)

包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类(Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering)

Laplacian Eigenmaps [10] uses spectral techniques to perform dimensionality reduction. This technique relies on the basic assumption that the data lies in a low dimensional manifold in a high dimensional space.[11] This algorithm cannot embed out of sample points, but techniques based on Reproducing kernel Hilbert space regularization exist for adding this capability.[12] Such techniques can be applied to other nonlinear dimensionality reduction algorithms as well.

利用PCA演算法進行人臉辨識 開發環境Matlab(Face Recognition using PCA)

波束形成算法是信号源定位研究的基础，上传声聚焦波束形成算法案例，对基础研究者有一定帮助(Beamforming algorithm is the basis of signal source localization research, uploading sound focused beamforming algorithm case, the basic researchers have some help)