ft_channelcombination

I am submitting my CSE assignment no 4 which was based on Position square specific matrix (PSSM). Please find the attached zip file which contains matlab code of prob1 as CSEAssignment4_0800229.m file, report of the problem as Report.pdf and the two .pep files required for program to run.

电力系统中无功补偿 SVC-SVG模型 可以观察无功补偿器对电能质量的维持的有利作用(Power System Reactive Power Compensation SVC-SVG model, you can observe the reactive power compensation of power quality maintenance of beneficial effects)

此书是matlab的基础教程，讲解的比较详细，希望和网友分享(This book is the basis of matlab tutorials, more detailed explanations, hope and friends to share)

用matlab实现分子动力学模拟，全英文文章，附录里有fortran和matlab源码(MD simulation using matlab)

motion compensation in sar systems

用龙格库塔发解二阶微分方程，共三个小程序，初学者可以直接调用龙格库塔源程序(With solutions of second order differential equations Runge-Kutta hair, a total of three small programs, beginners can directly call the Runge-Kutta source)

matlab图像特征提取程序。。。图像特征统计及计算(matlab image feature extraction procedures. . . Statistics and computing image features)

说明：  珍藏版，可实现，新K均值聚类算法，分为如下几个步骤： 一、初始化聚类中心 1、根据具体问题，凭经验从样本集中选出C个比较合适的样本作为初始聚类中心。 2、用前C个样本作为初始聚类中心。 3、将全部样本随机地分成C类，计算每类的样本均值，将样本均值作为初始聚类中心。 二、初始聚类 1、按就近原则将样本归入各聚类中心所代表的类中。 2、取一样本，将其归入与其最近的聚类中心的那一类中，重新计算样本均值，更新聚类中心。然后取下一样本，重复操作，直至所有样本归入相应类中。 三、判断聚类是否合理 采用误差平方和准则函数判断聚类是否合理，不合理则修改分类。循环进行判断、修改直至达到算法终止条件。(NewK-means clustering algorithm ，Divided into the following several steps: A, initialize clustering center 1, according to the specific problems, from samples with experience selected C a more appropriate focus the sample as the initial clustering center. 2, with former C a sample as the initial clustering center. 3, will all samples randomly divided into C, calculate the sample mean, each the sample mean as the initial clustering center. Second, initial clustering 1, according to the sample into the nearest principle clustering center represents the class. 2, as this, take the its recent as clustering center of that category, recount the sample mean, update clustering center. And then taking off, as this, repeated operation until all samples into the corresponding class. Three, judge clustering is reasonable Adopt error squares principles function cluster analysis.after clustering whether reasonable, no reasonable criterion revisio)

本光盘为《详解MATLAB快速入门与应用》一书的配套光盘，包括以下内容： 1.“sample”文件夹：提供了本书各章范例的源程序。(The CD is " Getting Started with MATLAB Detailed application," a book supporting the CD, including the following:. 1 " sample" folder: each chapter provides examples of the book source.)

music algorith easy to algorithm