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Spread_Frequency
TD中扩频的链路级仿真
通过MATLAB实现(TD Spreading the Link Simulation through MATLAB)
- 2007-04-18 14:19:23下载
- 积分：1
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Channel_Estimation
Channel estimation is detect signal is located in receiver
- 2013-02-27 15:36:41下载
- 积分：1
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TIME-FREQUENCY
Matlab时频分析技术及其应用教材后面的源代码(Frequency analysis technology and its application materials behind when the source code Matlab)
- 2013-12-07 18:11:23下载
- 积分：1
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关于DOA估计理论中线性预测类算法的MATLAB实现 FBLP ULA
这个程序是关于DOA估计理论中线性预测类算法的MATLAB实现的，具体是基于均匀线阵的双向线性预测算法仿真(This program is MATLAB on DOA Estimation Theory class linear prediction algorithms to achieve, in particular based on bi-linear prediction algorithm simulation of ULA)
- 2015-11-02 11:02:01下载
- 积分：1
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Modulation
模拟调制程序，用于Matlab下仿真，适用于通信初学者使用。(Analog modulation process, for under the Matlab simulation, applicable to the use of communications for beginners.)
- 2009-01-06 20:29:28下载
- 积分：1
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moon
嫦娥奔月的程序，是一个模拟的动画，用matlab开发的很有趣，感兴趣的同学可以看一下。(Moon program, is an analog of the animation, developed by matlab is very interesting, interested students can look at.)
- 2011-01-16 13:08:09下载
- 积分：1
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attachments
calculates waiting time for vehicle routing problem with time window.
- 2009-07-14 20:44:02下载
- 积分：1
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BPSK
BINARY PHASE SHIFT KEYING
- 2014-08-20 17:35:44下载
- 积分：1
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An-Introduction-with-Applications
Matlab ebook introduction with application
- 2014-09-23 01:54:58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
