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说明： matlab 1_Jacobi迭代解法 matlab 1_Jacobi迭代解法matlab 1_Jacobi迭代解法 matlab 1_Jacobi迭代解法 matlab 1_Jacobi迭代解法(matlab 1_Jacobi迭代解法)
- 2012-09-07 19:30:54下载
- 积分：1
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elevator1_sfun
电梯控制模型的搭建,可生成对应的HDL代码(elevator control)
- 2012-05-11 17:03:31下载
- 积分：1
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amijo
最优化中的一种方法，amijo方法，该方法很典型，(Optimization of a method, amijo method, which is typical,)
- 2013-09-13 16:14:28下载
- 积分：1
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2fsk
2FSK是利用数字基带信号控制在波的频率来传送信息。经过调制后的2FSK数字信号通过两个频率不同的带通滤波器f1、f2滤出不需要的信号，然后再将这两种经过滤波的信号分别通过包络检波器检波，最后将两种信号同时输入到抽样判决器同时外加抽样脉冲，最后解调出来的信号就是调制前的输入信号。(gudi hduidf hdag sdd w)
- 2014-12-22 17:44:45下载
- 积分：1
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music
基于MUSIC方法功率谱估计的matlab仿真(MUSIC-based method of power spectrum estimation matlab simulation)
- 2009-06-01 15:49:13下载
- 积分：1
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VBLAST_V1.1.m
VBLAST源代码！
下载后将.rar去掉，即可！
文件也可用ultraedit等软件直接打开(VBLAST source code! After downloading. Rar removed can be! Documents available ultraedit software directly open)
- 2006-06-21 17:32:38下载
- 积分：1
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hasrs
this is a software requirement specification for handwriting analysis.
- 2015-03-29 22:53:23下载
- 积分：1
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FMLIN
产生线性调频信号，可以在编程时作为基本函数调用(Have a linear frequency modulated signal can be programmed as a basic function call)
- 2008-03-17 15:33:01下载
- 积分：1
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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
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gx-try
主成分分析法在数学建模中的应用
使用主成分分析法的matlab 编程(Principal component analysis in mathematical modeling using principal component analysis method matlab programming)
- 2013-08-23 14:06:21下载
- 积分：1
