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Abhyankar_manuscript_ieee_tbme
THERE IS FULL INFORMATION ON FINGER PRINT SYSTEM FOR FINGERPRINT DETECTION
- 2012-06-06 15:55:24下载
- 积分：1
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程序及课件-Matlab仿真及其在光学课程中的应用
说明： 用MATLAB来实现光学仿真，附带MATLAB源程序(Realization of Optical Simulation with MATLAB)
- 2019-04-21 13:39:11下载
- 积分：1
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MIMO_SVD_4tr_STBC_1
四乘四的MIMO系统模型的仿真，介绍了系统的传输特性。(Four by four of the MIMO system model simulation, introduce the system of transmission characteristics.)
- 2008-03-17 10:50:15下载
- 积分：1
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OccamMT
大地电磁二维Occam反演程序，一维Occam反演，建议用IVF运行。(Occam dimensional magnetotelluric inversion program, a one-dimensional Occam inversion, it is recommended to run with IVF.)
- 2013-12-22 22:08:40下载
- 积分：1
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zaixianquanxi
再现全息图，读入图片再现全息程序，该路径后可运行，用再现光的方法(Reproducing hologram reproducing holographic read into the program, the path can be run with the method of reproducing light)
- 2020-08-03 15:08:34下载
- 积分：1
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GA_example
遗传算法求最大值最小值问题的一些实例及其matlab实现。(Some examples of matlab genetic algorithms Maximum Minimum problem.)
- 2012-09-05 15:17:20下载
- 积分：1
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Problem1
2013年“高社杯”数学建模b题，对于纵向切割的图片复原。
使用方法：打开matlab，调整工作目录为解压后的文件夹，在matlab工作框中输入Problem1即可(2013 " High Society Cup" Mathematical modeling b title picture for longitudinal cutting recovery. How to use: open matlab, adjust working directory is unpacked folder work in matlab can enter Problem1)
- 2013-09-27 19:20:17下载
- 积分：1
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ODENonLinFinDif
NonLinear ODE Function
- 2014-12-05 05:58:11下载
- 积分：1
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Elman神经网络预测电力负载
Elman神经网络建立建筑物电力负荷预测模型中遇到的几个关键问题有，数据归一化处理、输入输出样本的选取、隐含层节点数的确定；分别建立Elman神经网络模型，并利用某栋建筑物实际历史电力负载数据进行预测，分析比较与实际数据值的预测精度，得出了一个有效的数据预测模型。(Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.)
- 2019-05-16 19:07:39下载
- 积分：1
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project4
Signal and Systems Project in MATLAB code
- 2010-11-13 18:09:32下载
- 积分：1
