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po(matlab)

于 2021-01-14 发布文件大小:3KB

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下载积分: 1 下载次数: 38

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代码说明：

实现Po计算电磁散射单站计算，对于一般的目标可进行简单的计算。(it can be used to calculate the monostatic RCS of the object in matlab)

文件列表：

po(matlab)
..........\cubic.dat,1839,2008-04-09
..........\getTri.m,832,2011-11-24
..........\PO3d.m,5828,2011-11-24
..........\po_for_graduate.m,517,2011-11-29
..........\说明：.txt,249,2011-11-29

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sinx
主要是matlab的画图，画的很好。很不错！应该可以看懂的。(The drawing is mainly matlab)

2010-08-11 17:28:52下载

积分：1
m_q6leix
参考外国文献，通过MATLAB程序编写了以两个简单的blcOzp映射构造一个双混沌互扰 ZaUxxYq系统,提出了采用先进的两混沌调制模型的无线加密算法，具有防窃听的能力，调试无错误。(References to foreign literature, through MATLAB programming the blcOzp with two simple mapping to construct a mutual interference ZaUxxYq dual chaotic systems is proposed based on the wireless encryption algorithm dual chaotic mutual interference system has the ability of anti-wiretapping, debugging errors. )

2016-01-13 19:26:14下载

积分：1
yongshuzifengeyingyong
这是基于耶鲁库的人脸分割程序，是matlbe环境下的哦！(This is based on the Yale Face database segmentation procedure is matlbe environment Oh!)

2007-10-14 16:39:17下载

积分：1
0.5
wireless lans simulation

2012-05-11 07:09:10下载

积分：1
random_classifier
这是中心近邻分类器的算法，采用的算子是LBP，数据库采用的是CK数据库。(This is the center of neighbor classifier algorithm, is the LBP operator is used, the database USES a CK database. )

2013-11-18 17:27:03下载

积分：1
S-Function
S-Function 使用及应用举例。欢迎下载，互相学习，共同努力(S-Function use and application, for example. Welcome to download and learn from each other and work together)

2007-11-26 18:40:12下载

积分：1
VideoLab
Block Matching Alogrithm

2013-03-07 23:43:49下载

积分：1
MyKmeans
实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。缺点：产生类的大小相差不会很大，对于脏数据很敏感。改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

2005-07-26 01:32:58下载

积分：1
xt_mac
Kernel module to match MAC address parameters.

2015-04-19 09:28:45下载

积分：1
tmrecog
A template matching algorithm for Chord Recognition. It matches a given chroma with 180 chord patterns

2010-11-30 07:34:25下载

积分：1

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po(matlab)

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