readuff

差值问题中的拉格朗日插值的MATLAB源程序(Issue of the margin of the Lagrange interpolation of the MATLAB source code)

Matlab中没有现成的Lagrange插值函数，必须编写一个M文件实现Lagrange插值。 设n个节点数据以数组x0,y0 输入（注意Matlat的数组下标从1开始），m 个插值点以数组 x输入，输出数组y 为 m个插值。 编写一个名为lagrange.m的M文件。(Matlab is not off-the-shelf Lagrange interpolation function, we must realize the preparation of an M file Lagrange interpolation. N nodes based data to an array of x0, y0 input (Note Matlat subscript of the array starting at 1), m a x interpolation points to the array input and output array y for m months interpolation. Lagrange.m the preparation of a M-file.)

MATLAB R2008接口技术程序设计实例教程源程序(MATLAB R2008 interface programming examples tutorial source code)

这是改进的锁相环在simulink中的仿真模型。EPLL.增强型锁相环。(EPLL feichanghaoyong)

MATLAB小波分析高级技术2006电子书，书中内容较为实用(MATLAB Wavelet Analysis Advanced Technology 2006 books, the book is more practical content)

把控制倒立摆的matlab文件不上去，请与上传的 Inverted_Pendulum(pdf)一起下载。(To control the inverted pendulum matlab file does not go, please upload Inverted_Pendulum (pdf) download together.)

matlab 画地图，非常实用，有需要的可以下载过去！(very strong！)

利用matlab的gui设计的带有输入和输出功能的界面图形，实现等距线可视性很强，自己独立编写的数据和图形，学习非常值得,实现pca bp和svm压缩图像，matlab语言(Using GUI of MATLAB to design interface graphics with input and output functions, realizing the visibility of isometric line is very strong, and it is very worthwhile to study the data and graphics written independently, realizing PCA BP and SVM compressed images, MATLAB language)

资料中包含波达方向估计的一种常用方法，包括一维MUSIC和二维MUSIC，可以有效的估计出多个信号方向。(A common method of data contained in the DOA estimates, including one-dimensional and two-dimensional MUSIC MUSIC, can effectively estimate multiple signal direction.)

传统的K-medoids聚类算法的聚类结果随初始中心点的 不同而波动，且计算复杂度较高不适宜处理大规模数据集； 快速K-medoids聚类算法通过选择合适的初始聚类中心改进 了传统K-medoids聚类算法，但是快速K-medoids聚类算法 的初始聚类中心有可能位于同一类簇。为了克服传统的K- medoids聚类算法和快速K-medoids聚类算法的缺陷，提出 一种基于粒计算的K-medoids聚类算法。(The traditional K-medoids clustering algorithm clustering results with different initial center points and volatility, and high computational complexity is not suitable for processing large data sets; K-medoids clustering algorithm by choosing proper initial cluster centers to improve the traditional K-medoids clustering algorithm, but the initial cluster center of K-medoids clustering algorithm can be located in the same cluster. In order to overcome the shortcomings of the traditional K- medoids clustering algorithm and the fast K-medoids clustering algorithm, a K-medoids clustering algorithm based on granular computing is proposed.)