Toeplitz_and_Circulant_Matrices_A_review

利用平面波展开的方法计算二维光子晶体的缺陷模(Using plane wave expansion method to calculate two-dimensional photonic crystal defect modes)

《基于MATLAB7.0统计信息处理》，对统计信息基本理论做了讲解，并结合实例讲解了统计信息库基本函数的使用。(" Based on MATLAB7.0 statistical information processing" , the basic theory of statistical information made to explain, and explain with examples the basic function of the statistical information base to use.)

矩阵奇异值分解的svd算法的解析和评估。综述了三种方法进行奇异值分解。特点不一 有适合嵌入式系统用的(svd juzheng)

说明：  longge-kuta法实现，需要下载的请看看哦，绝对实用~~~~(longge-kuta method to achieve, you need to download the See Kane, absolutely practical ~ ~ ~ ~)

预测函数控制的英文书籍很有用，包含很多内容(English books useful predictive function control contains a lot of content)

谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。(Spectral clustering algorithm based on the reproduction diagram theory, compared with the traditional clustering algorithm, it can have on the arbitrary shape of sample space clustering, and the advantage of converge to global optimal solution.The algorithm firstly according to the given sample data set defines a description of the data points of similarity in pairs of affinity matrix, and computing the matrix eigenvalue and characteristic vector, and then choose the appropriate feature vector clustering of different data points.Spectral clustering algorithm was originally used in computer vision, VLS in areas such as design, I recently started used in machine learning, and quickly became a hot issue in the field of international machine learning research.)

UCI 上面的经典数据 UCI 上面的经典数据UCI 上面的经典数据(UCI data)

this is a matlab program for M array PSK modulation

说明：  计算给定矩阵的互信息，这时的相关性是利用互信息来判断，矩阵的形式为邻接矩阵(compute the mutual information of the given matrix such as the matrix the elements in it are 0 or 1.)

说明：  SAR（合成统计雷达）点目标成像matlab代码(SAR (synthetic statistical radar) point target imaging matlab code)