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tianchongtu
填充图的MATLAB实现方法，主要解决图像处理中图像填充问题，相对去C语言，它更简单(Fill MATLAB implementation method, and mainly solves the problem of image processing image filling, relative to the C language, it is more simple)
- 2012-05-09 22:15:30下载
- 积分：1
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matlab_and_vc
多个VC++与Matlab混合编程的程序及相应的资料，希望对学习混编的人员有帮助(More mixed VC++ and Matlab programming process and the corresponding information, want to help the person learn mixed)
- 2011-12-01 21:55:59下载
- 积分：1
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incfreq2
generation of rectangular shape signal. for a rectangular shape of width 1, sinc result also included
- 2007-08-22 09:57:59下载
- 积分：1
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test_bpsk
DVB-S2系统仿真代码，需要在2007版以上运行(DVB-S2 system simulation code, required to run at more than 2007)
- 2009-03-09 14:01:45下载
- 积分：1
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gpstoolbox3.01
gps的matlab仿真工具包version3.01，函数和处理方法非常全，不错的gps开发仿真工具(gps the matlab simulation toolkit version3.01, function and processing method is very full, good development of simulation tools gps)
- 2010-11-22 21:09:43下载
- 积分：1
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testgrid2-2014-11-20
test grids for matlab users
- 2015-01-05 21:51:05下载
- 积分：1
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BP-matlab
bp神经网络matlab实现和matlab工具箱使用实例(bp neural network matlab matlab toolbox and use cases to achieve
)
- 2011-12-20 21:00:18下载
- 积分：1
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tonemap_matlab
在Matlab环境中，对基于HDR图像进行色度映射处理的两种方法。函数原型只有一个，重载函数很多，适合各种参数情况下的色度映射。(failed to translate)
- 2013-05-08 21:04:12下载
- 积分：1
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Fuzzy-adaptive-control
单臂机器人的模糊自适应控制程序，此程序由m文件结合simulink实现(Fuzzy adaptive robot arm control program, this program combines simulink realization by m file)
- 2014-08-23 13:40:34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
