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Digital-Image-Process
數位影像處理作業
noise filter
(Digital Image Process
Noise filter)
- 2013-12-25 00:31:53下载
- 积分:1
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kriging
kriging模型,用于替代模型,matlab程序,适合数据拟合和预测各种不同条件下的情况(kriging model for alternative model, matlab program for data fitting and projections under various conditions)
- 2013-12-24 20:25:56下载
- 积分:1
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testcon
一个数学模型的优化
function testcon()
%% 设置初始值,上下限;
x0=[18 13 11]
lb=[3 0.1 7]
ub=[25 1 25]
%% 调用优化求解函数(testcon)
(Optimization of a mathematical model function testcon () set the initial value, the upper and lower limits x0 = [18 13 11] lb = [3 0.1 7] ub = [25 1 25] Call for Function Optimization (testcon))
- 2007-10-18 10:08:29下载
- 积分:1
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matlabandsignalsystem
说明: matlab与信号系统电子书和相关书中代码(matlab and signal systems and related electronic code book)
- 2010-04-26 12:18:39下载
- 积分:1
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CPPTemplates
学习C++ template的好资料,详细介绍了template的特性和用法(C++ tmeplate)
- 2014-01-21 21:49:19下载
- 积分:1
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network&run
说明: 文件传输限制分多次上传,其他文件可以查看我的上传资料
本实验使用matlab神经网络工具箱搭建CNN网络实现手写字识别,里面附数据集和训练好的网络,准确率可达99%。
1.打开matlab2018
2.将路径设置为当前文件所在路径
3.直接运行test7_run.m即可得到网络在测试集里的准确率以及分类错误的样本。
test7_cnn_hwr.m:训练的程序
test7_run.m:测试测试集的代码,直接读取存储在net_trained.mat训练好的网络,
对测试样本进行分类,统计准确率。(In this experiment, we use matlab neural network toolbox to build CNN network to realize handwritten word recognition, which is attached with data set and trained network, with an accuracy of 99%.)
- 2020-04-16 20:58:20下载
- 积分:1
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jiechanrao
对干涉图进行相位提取后,要获得真实相位图分布,需要对相位主值图进行展开,即相位解缠绕,本程序应用基于调制度方法进行解缠绕。(Right to interfere in the phase diagram extracted to obtain the true distribution of the phase diagram, the need to start phase diagram principal value, that is, the phase winding solution, the program application solution based on the modulation method of winding.)
- 2020-07-09 15:08:55下载
- 积分:1
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strapdown
对准程序,解决了仿真计算和粗对准、精对准过程的数学描述的问题,这样就会得到一个结果的验证(inertial progrmme)
- 2012-03-29 23:04:33下载
- 积分:1
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JTAPIAppInit_tutorial
Tutorial to design JTAPI applications
- 2014-12-10 07:02:05下载
- 积分:1
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MIMOOFDMVBLAST
仿真mimo ofdm v-blast 程序(Simulation mimo ofdm v-blast procedures)
- 2009-07-20 22:14:06下载
- 积分:1