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kittlerMet
matlab source code for adaptive threshold
- 2011-08-25 05:27:20下载
- 积分：1
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trans
将idNO类中序列相差2以内的子序列进行连接，用于交流留的数据处理(Conecting the subsequences which are next to others (less than 2). This is used for data processing of transpotation flow)
- 2013-10-15 19:43:56下载
- 积分：1
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VAr-CVaR
CVaR的计算，以及cvar最优化的投资组合权重问题(VAR CVAR OPTIMAL)
- 2021-01-06 16:58:53下载
- 积分：1
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DMC-improve
基于matlab的dmc算法改进，m文件编写，计算更加简略，有助于新手学习。(Based on the improved algorithm matlab dmc, m document preparation.)
- 2014-03-27 14:32:06下载
- 积分：1
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huiduzhifangtu
自己编的一些关于图像灰度直方图处理的MATLAB源程序，包括加权距离，累加直方图，欧氏距离，直方图相交法，中心距法共5种方法，可选择适合的选用。(Own some on the image histogram processing MATLAB source code, including the weighted distance, cumulative histogram, Euclidean distance, histogram intersection of law, from the Law Center, five kinds of methods to choose the appropriate selection.)
- 2007-12-29 19:02:49下载
- 积分：1
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GDOP
说明： GDOP(Geometric Dilution of Precision) 几何精度因子是衡量一个定位系统精度的重要标准之一。
运行程序sGDOP.m可得到三站GDOP仿真结果，更改程序中s_x,y,z可以更改阵列的几何排列。运行程序fGDOP.m得到四站GDOP仿真结果。(GDOP (geometric division of precision) geometric accuracy factor is one of the important standards to measure the accuracy of a positioning system.
Running the program sgdop. m, we can get the simulation results of three stations GDOP, and changing the geometry of the array by changing the program s _ x, y,z. Running the program fgdop.m, the simulation results of four stations GDOP are obtained.)
- 2021-01-25 21:48:43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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InverseSynthetic-MatlabFiles
逆合成孔径雷达一些基本原理的代码，适合初学者使用(Inverse synthetic aperture radar some basic principles of the code, suitable for beginners)
- 2013-07-16 15:35:42下载
- 积分：1
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zuidasiran
信号处理中参数最大似然估计的仿真程序设计(Maximum likelihood parameter estimation simulation)
- 2011-06-12 09:00:37下载
- 积分：1
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simulink
动态系统建模与仿真第二，第四章，详细介绍MATLAB环境下的建模仿真。(Dynamic System Modeling and Simulation II, Chapter IV, details of the modeling and simulation environment MATLAB.)
- 2011-07-03 11:40:55下载
- 积分：1
