登录
首页 » matlab » exprony_ma

exprony_ma

于 2011-09-26 发布 文件大小:996KB
0 139
下载积分: 1 下载次数: 46

代码说明:

  求取系统特征模态,以及参数辨识使用。采用扩展的prony算法。(eigen value dentification)

文件列表:

exprony_ma.m,612,2011-07-25
matlab.mat,1145701,2011-09-26

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论


0 个回复

  • weisuiji
    产生伪随机二维码,使用的是Matlab中的Simulink,应该很好用的,用于系统辨识(PEBS generator)
    2009-09-26 22:57:51下载
    积分:1
  • Matlab
    最经典的Matlab书籍,我们学习都用它可以做工具书,很全的(Matlab and classic books, we can learn to do it can use reference books, it is the whole of)
    2008-05-03 20:52:32下载
    积分:1
  • cdma2000
    说明:  cdma2000的matlab平台仿真,simulink(cdma2000 platform of matlab simulation, simulink)
    2008-09-10 10:51:13下载
    积分:1
  • zgx
    MATLAB的GUI制作例子,用MATLAB7.0打开.(MATLAB GUI examples produced using MATLAB7 open.)
    2007-04-23 18:02:05下载
    积分:1
  • Fast_SC
    非常快速的稀疏编码求解过程。可以用于各种类型的数据(fast solving the problem of sparse coding.You can apply sparse coding to any type of general data.)
    2014-08-23 20:45:57下载
    积分:1
  • S2-20140323064-Summary
    summary from my thesis case base reasoning programs
    2014-08-25 10:31:56下载
    积分:1
  • chaoliu
    IEEE33节点配电网潮流计算程序,采用前推回代方法进行计算(IEEE33 node flow calculation program,power generation method is used to calculate.)
    2015-02-04 16:50:07下载
    积分:1
  • NewK-means-clustering-algorithm
    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)
    2011-04-06 20:45:56下载
    积分:1
  • shuzhi-fenxi
    此为北京航空航天大学数值分析教材当中的2-5章所涉及问题的MATLAB源程序,程序附有详细的解释,值得学习。(This is the Beijing University of Aeronautics numerical analysis of materials in which the issues involved in Chapter 2-5 of the MATLAB source code, the program with a detailed explanation, it is worth learning.)
    2011-11-28 10:42:23下载
    积分:1
  • demoEM1
    implementation of em algorithm
    2010-01-18 18:31:41下载
    积分:1
  • 696518资源总数
  • 104627会员总数
  • 23今日下载