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MATLAB-Telnet
matlab的命令大全,很详细,对各个命令的解释很全面,附带有例子(matlab command Daquan, very detailed, very comprehensive explanation of each command, with the example of)
- 2013-04-18 19:17:02下载
- 积分:1
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gaussian
The Gaussian blur is a type of image-blurring filter that uses a Gaussian function (which also expresses the normal distribution in statistics) for calculating the transformation to apply to each pixel in the image
- 2011-12-08 10:21:10下载
- 积分:1
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Perbandingan-Metode-Mean-Filtering-dan-Median-Fil
COMPARISON OF MEAN AND MEDIAN FILTER METHOD
- 2014-01-17 04:55:05下载
- 积分:1
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lilunzhi
基于3GPP 25.996 的简化SCM信道模型,可用来生成基于SCM信道的仿真实时的信道增益的产生,到达角 给出了拉普拉斯分布 均匀分布与标准的20个子径的分布三种不同的形式。(Based on 3 GPP 25.996 simplified SCM channel model, based on SCM channel can be used to generate a simulation of real-time channel gain, arrival Angle gives the Laplace distribution uniform distribution and standard 20 is a diameter of three different forms of distribution)
- 2014-01-10 17:34:08下载
- 积分:1
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SSBsc
SSBsc simulink model
- 2011-01-12 00:59:03下载
- 积分:1
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MICA
MICA软件包,可在MATLAB 5或MATLAB 6环境下运行(MICA package, MATLAB 5 or in the MATLAB 6 environment running under)
- 2008-04-15 16:54:49下载
- 积分:1
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BPSKber
关于BPSK的误码率的MATLAB仿真程序。是在高斯信道(AWGN)下的仿真,能够生成图像形式。(BPSK bit error rate on the MATLAB simulation program. In the Gaussian channel (AWGN) under the simulation, can generate the image forms.)
- 2010-05-22 14:58:28下载
- 积分:1
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estimate-ar
这是在AR模型的功率谱估计,对比经典谱估计有明显的优点,是一种新的估计。(This is the AR model of the power spectrum estimation, contrast classical spectrum estimation has obvious advantages, is a new estimate.)
- 2007-04-07 11:09:07下载
- 积分:1
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active-learning-code
Learning_random.m : 随机选择样例,从(90)pool里随机选择样本,删除版本空间树的数量
activeLearning.m:根据最大熵原则,从pool里选择样本,删除版本空间树的数量
getlabel.m:根据树和测试样例,得到根据该树得到的类标
getTrees.m:从提供的大量树结构(随机生成的)中,随机挑选一定数量的树(如果该树的叶子节点无类标随机添加)
RandomCreateTree_d_unbalance:根据样本点割点中的非平衡割点建造树,
RandomCreateTree_d_all.m:根据所有样本点的割点建造树
randomdata.m:给定属性取值,造数据
randomselect.m:从数据中随机选择一部分作为
showTree.m:显示树的结构
test.m:给出树,测试样例,得到正确率(Learning_random.m: randomly selected sample, randomly selected sample from (90) pool the The deleted version space tree quantity activeLearning.m: selecting a sample from the pool based on the principle of maximum entropy, delete the number of version space tree getlabel.m: According to the tree and the test sample obtained according to the class standard getTrees.m the tree: from the tree structure (randomly generated), randomly selected a certain number of trees (the leaves of the tree node class marked randomly adding ) RandomCreateTree_d_unbalance: According to the sample point cut point unbalanced cut point construction tree, RandomCreateTree_d_all.m: construction of the tree randomdata.m all sample points cut point: given the value of the property, manufacturing data randomselect.m: random data Select as part showTree.m: tree structure test.m: tree, the test sample is given to get the correct rate)
- 2012-10-10 22:33:44下载
- 积分:1
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nnPlotOuts
for set Plotting Map
- 2010-08-10 21:30:06下载
- 积分:1