Mathematicauser

这是我们参加深圳杯2012年D题的打孔机生产效率的问题，希望对大家有帮助。这可是很强的东西。(This is our participation in Shenzhen Cup 2012 theme punch D productivity problem, we want to help. This is strong stuff.)

根据burg算法实现的AR模型功率谱计算(Burg algorithm AR Model Power spectrum calculation)

说明：  以450,545,700nm三个波长为三基色画出的麦克斯韦颜色三角形，求其中任意一点的光亮度比(The Maxwell color triangle is drawn with three wavelengths of 450545700nm as the three primary colors, and the brightness ratio of any point is calculated)

该函数为可用于对信号的中心消波的matlab函数(matlab function for the mid-wav romove of the signal)

Gauss Elimination in matlab with user input

simulink双效串并联吸收式制冷动态仿真(simulation for absorption refrigeration)

simulink的经典用法,偶然在其他地方看到的,和大家共享(simulink classic usage, occasionally, in other places to see, and everyone shared)

COMPARISON OF DIFFERENT MODULATION SCHEMES

CDMA系统Rake接收误比特率模拟程序，链路级各个模块均包括，有详细的程序注释。(Rake receiver CDMA system BER simulation program, each module includes link-level, detailed program notes.)

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.)