GPR_final2

说明：  关于在静态EEG中的ERP提取，主要用ICA 工具平台是EEGLAB 工具箱(EEG on the ERP in the static extraction, the main tool platform with the ICA is EEGLAB Toolbox)

利用ＳＯＲ迭代法求解线性代数方程组，此迭代法是数值计算方法中的基本方法之一。(The use of the SOR iterative method for solving linear algebraic equations, this iterative method is one of the basic method of numerical methods.)

对图像消除进行平滑，消除噪声影响，利于观察(Smooth, eliminating the image to eliminate noise, conducive to observe)

this proggram s name is huffcode and it s written in matlab and as its name is clear, it gives hufmman code for probability vector

社会计算，mkbcd算法，准确划分出每个社团(Social computing, mkbcd algorithm，Accurately divided each community)

MATLAB实现函数最值求解 蚁群算法MATLAB实现(MATLAB implementation solving the most value function to achieve colony algorithm based on MATLAB)

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

Applied Numerical Methods Using Matlab ,Matlab在数值计算中的应用的经典书籍(Applied Numerical Methods Using Matlab is a classic book)

基于DS-CDMA的 MATLAB仿真M文件(DS-CDMA based on the MATLAB simulation of M documents)

基于matlab的最优控制计算方法及其在超声治疗方面的应用(computional methods for optimal control in ultrasound therapy)