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DVHOP
说明： 实现无线传感器网络定位DV-Hop算法的matlab源码(Wireless sensor network localization DV-Hop algorithm matlab source)
- 2010-04-18 13:10:28下载
- 积分：1
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chapter1
matlabsimulink通信系统建模与仿真(Communication modeling and simulation)
- 2012-04-08 16:33:39下载
- 积分：1
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matlabpro1
用MATLAB实现图像轮廓提取的方法和效果(MATLAB image contour extraction methods and results)
- 2007-05-10 19:08:43下载
- 积分：1
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channel
wlan信道仿真模型，考虑了各种不同场景下的信道变化(wlan channel simulation model, taking into account various channel change under different scenarios)
- 2014-11-05 15:47:05下载
- 积分：1
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trams
8PSK发射机系统的测试程序，经过4倍内插(8PSK tramsmitter)
- 2009-07-14 10:21:29下载
- 积分：1
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chengxu
给出一组数据后，将数据依次读取，然后完成复杂的计算公式(Given a set of data, the data is read in turn, and then complete the complex formula)
- 2010-05-30 11:56:02下载
- 积分：1
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plot
在matlab里实现画图，分别可以画出五角星，长城和区域填充(In matlab realize in drawing,respectively, can draw a pentagram, the Great Wall and the area fills)
- 2014-10-01 16:21:33下载
- 积分：1
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1
MATLAB CODE FOR IMAGE PROCESSING
- 2013-09-11 12:52:21下载
- 积分：1
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SOM_NN_CODE
An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised learning, a desired output result for each input
vector is required when the network is trained. An ANN of the
supervised learning type, such as the multi-layer perceptron, uses
the target result to guide the formation of the neural parameters. It
is thus possible to make the neural network learn the behavior of
the process under study.
• In unsupervised learning, the training of the network is entirely
data-driven and no target results for the input data vectors are
provided. An ANN of the unsupervised learning type, such as the
self-organizing map, can be used for clustering the input data and
find features inherent to the problem.
- 2015-04-15 00:03:32下载
- 积分：1
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Pgmread
说明： 基于MATLAB的图像读取程序源码----针对PGM文件的读取(MATLAB code of read PGM image )
- 2010-03-16 21:33:36下载
- 积分：1
