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time_feature
计算时间信号特征值的matlab函数文件(function used for calculating feature values of a time signal)
- 2012-04-20 21:03:24下载
- 积分：1
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panel_28_08_2010_02
panel plot toolbox for subplots
- 2011-08-27 03:47:50下载
- 积分：1
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deblur
这种去模糊的matlab源代码,学生需要可以下载使用(Such deblur the matlab source code, students can download to use
)
- 2014-11-29 11:09:00下载
- 积分：1
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oil
本程序是用matlable求任意一个二维矩阵的边界矩阵，与C和C++不同，这里不只用循环，比C和C++要方便快的多。(This procedure is arbitrary matlable seeking a two-dimensional matrix of the boundary matrix, with C and C is different here, not only by cyclic than C and C should be faster and more convenient.)
- 2009-01-20 20:28:01下载
- 积分：1
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MATLAB_filter
基于MATLAB的数字滤波，包含源程序及说明(MATLAB-based digital filtering, including source and description)
- 2008-03-29 17:02:40下载
- 积分：1
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para
说明： 抛物线法求解
方程的构造方法:给出[0,1]区间上的随机数(服从均匀分布)作为方程的根p*.
设你的班级数为a3,学号的后两位数分别为a2与a1,从而得到你的三次方程
例如:你的31班的12号,则你的方程是21x3+60x2+2x+a0=0的形式.
方程中的系数a0由你得到的根p*来确定.
(parabolic equation method Construction Methods : given interval [0,1] on the random number (subject to uniform distribution) as the root equation p*. set up your classes at a3, after learning of the double-digit for a1 and a2, so you get the three equations for example : your 31 classes on the 12th, then your equation is 21x3 60x2 2x a0 = 0 forms. the equation coefficients a0 you get from the root of p* to determine.)
- 2005-12-03 18:11:10下载
- 积分：1
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matlabcodes
some other matlab codes
- 2010-10-12 14:30:22下载
- 积分：1
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tra
说明： 基于MATLAB的攻击水平机动目标比例导引三维弹道仿真。(MATLAB-based attacks on the level of proportional navigation for maneuvering target three-dimensional trajectory simulation.)
- 2020-10-18 15:27:26下载
- 积分：1
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Cox
说明： cox回归分析的学习总结资料，包括example。PPT(cox regression analysis of the study summary data. PPT)
- 2011-04-07 11:21:01下载
- 积分：1
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BPneural network
说明： BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)
- 2019-02-26 14:38:11下载
- 积分：1
