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OS
说明: 对航海雷达中频信号进行OS恒虚警处理,滤除杂波(On marine radar IF signal OS CFAR processing, filtering clutter)
- 2010-05-10 14:10:35下载
- 积分:1
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111
Edge detection with svm (doc and matlabcode)(Edge detection with svm (doc and matlabcode))
- 2008-04-16 16:30:11下载
- 积分:1
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ExtractVes
Retinal Blood vessel extraction using Matlab by morphological processing
- 2009-06-23 13:52:42下载
- 积分:1
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zonghe
此程序是用来读取C版本星历文件并进行拟合预推处理的,简单可用(the program is used to read C version ephemeris , couple and predict, it is easy and useful)
- 2011-06-20 13:03:02下载
- 积分:1
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qiefou
使用大量的有限元法求解偏微分方程,阐述了负荷预测的应用研究,采用偏最小二乘法。( Using a large number of finite element method to solve partial differential equations, It describes the application of load forecasting, Partial least squares method.)
- 2016-05-31 11:42:32下载
- 积分:1
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MATLAB
matlab初学者最重要的资料,希望大家来下载学习,谢谢(matlab beginners to the most important information, I hope you learn to download, thank you)
- 2010-12-19 21:44:13下载
- 积分:1
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andnot_adline
and gate using adaline
- 2010-10-15 10:31:23下载
- 积分:1
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fish
说明: MATLAB 捕鱼策略 全国大学生建模(National Undergraduate fishing strategy MATLAB Modeling)
- 2009-08-25 11:51:50下载
- 积分:1
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dpdlfwxt
单排队论服务系统,顾客源无限,选择仿真时间,选择最大来到顾客数(Single queuing theory service system, customers unlimited source, select the simulation time, select the maximum number of customers came)
- 2013-09-15 11:09:53下载
- 积分:1
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matlab
聚类算法,不是分类算法。分类算法是给一个数据,然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据,然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类,是事先给出原始数据所含的类数,然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn},这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)
- 2014-02-18 09:59:02下载
- 积分:1