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vanoverschee
时程积分程序，给定结构激励，计算结构动力响应。(Time integration process, given the incentive structure, dynamic response of structure.)
- 2010-11-30 21:16:27下载
- 积分：1
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nnet
神经网络在matlab上的实现的源代码，本程序可用于分类问题(Matlab neural network to realize the source code, the procedure can be used for classification problems)
- 2008-07-13 23:19:31下载
- 积分：1
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matlab2
说明： 该程序是在matlab中利用窗函数法设计滤波器的示例(The program is using the window function matlab filter design example)
- 2011-04-16 16:09:41下载
- 积分：1
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Sonar_Exp_v2_CW
声纳技术 常用水声信号及其处理方法 内容 CW信号(Commonly used in underwater acoustic signal processing method)
- 2012-04-15 08:54:09下载
- 积分：1
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detectingI
并网时检查电网频率和幅值的探测的简单程序(Simple program to check the grid frequency and amplitude detection grid)
- 2012-11-07 14:43:09下载
- 积分：1
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matlab-delete
删除矩阵中某行某列,可以使数据处理更加合理。(Delete the matrix in a column in a row, can make data processing more reasonable.)
- 2012-11-11 22:51:18下载
- 积分：1
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GA-ELM_2 v2.0
说明： matab遗传算法工具箱以及极限学习机+遗传算法优化压缩包(Genetic Algorithm toolbox for matlab 2020b and Limit learning machine + genetic algorithm optimization package)
- 2020-12-04 08:49:24下载
- 积分：1
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matlabdrawing
1) 已知x=[1:15], y=[12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], 用多项式进行拟合，给出拟合多项式，(所选拟合多项式阶数不同，拟合结果不同，请你选择适当的阶数进行拟合)，并绘出原始数据点、拟合曲线和95％置信区间（confidence bounds）的图形
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2) 根据下面数学模型建立仿真模型，并在一个示波器中把它们的波形仿真出来。
(1) are known to x = [1:15], y = [12 34 56 78 99 123 165 198 243 277 353 345 303 288 275], with polynomial fitting, given the polynomial fitting, (the election order polynomial fitting different fitting results to differ, please select the appropriate order of fit), and draw original data points, fitting curve and 95 confidence interval (confidence bounds) graphics .2 ) In accordance with the following mathematical model for the establishment of simulation model, and in an oscilloscope waveform in their simulation out.)
- 2008-03-06 10:24:51下载
- 积分：1
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importfile
script that converts file to binary stream and convolutes it
- 2011-02-10 09:32:43下载
- 积分：1
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gui
说明： 这是一个matlab 的GUI，matlab的版本可在7.0(matlab GUI)
- 2010-04-07 19:36:34下载
- 积分：1
