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fuel-cell2
simulation of fuel cell -part3
- 2013-07-29 15:57:24下载
- 积分：1
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Doppler-effect
文档详细介绍了关于多普勒效应原理及多径效应，并附有matlab仿真(Document details the principles on the Doppler effect and multi-path effects, together with matlab simulation )
- 2011-05-23 10:32:52下载
- 积分：1
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spam-classification--matlab
机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip)
http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html
该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。
(Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)
- 2020-12-15 21:29:16下载
- 积分：1
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整数倍频偏估计算的PDF格式的文档，以及算法实现程序，S&C算法的研究
SaCAlgorithmmatlab
整数倍频偏估计算的PDF格式的文档，以及算法实现程序，S&C算法的研究！(S&C Algorithm)
- 2014-04-27 10:45:34下载
- 积分：1
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Matlab_BP
基于MATLAB神经网络工具箱的BP网络实现，该本书对初学神经网络的读者应该比较有用。(Based on the MATLAB neural network toolbox of the BP network, the book for beginner readers neural network should be more useful.)
- 2007-09-29 00:40:37下载
- 积分：1
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QAM16_demapper
this is code for qam modulation and demodulation
- 2012-04-02 23:39:32下载
- 积分：1
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基于加权l1范数的稀疏信号重建 RL1
基于加权l1范数的稀疏信号重建，稀疏信号是带噪声的(Sparse signal reconstruction based on the weighted l1 norm sparse signal with noise)
- 2020-10-28 16:19:57下载
- 积分：1
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enalem
The program computes and plots the equation of time, the declination, and an analemma curve for various orbital parameters. The analemma is the curve traced by the position of the sun, measured at clock noon, over a year.
- 2014-08-14 05:04:08下载
- 积分：1
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FFT
说明： FFT频域滤波，用于图像进行fft频域滤波变换，很实用的小程序。(failed to translate)
- 2011-04-17 15:53:17下载
- 积分：1
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factori
Methode Factorisation en matlab
- 2013-01-11 07:50:11下载
- 积分：1
