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ds
说明: DIFFERENTIAL SEARCH ALGORITHM
- 2014-10-30 00:31:51下载
- 积分:1
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F16
用于F16的六自由度的仿真,很简单的建模仿真程序,(Six degrees of freedom for the F16 simulation, modeling and simulation procedures are simple,)
- 2011-04-21 09:18:01下载
- 积分:1
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BP1
案例2 BP神经网络的非线性系统建模-非线性函数拟合(The BP neural network of nonlinear system modeling-nonlinear function fitting)
- 2012-05-05 15:28:26下载
- 积分:1
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dp33
Frame Difference in image processing
- 2009-12-01 11:34:01下载
- 积分:1
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elimination-of-harmonics-in-3phase
Elemination of hormonics in the 3 phase inverter
- 2014-09-02 00:08:28下载
- 积分:1
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klt-compression
compression using karhunen loeve transform
- 2011-11-21 20:43:41下载
- 积分:1
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p1
说明: Physical modelling example 1
- 2014-12-30 19:35:55下载
- 积分:1
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HOG
这是最简洁,注释得最好的HOG(Histogram Oriented Gradient)算法的matlab实现。可用于行人识别和物体跟踪。(This code is well commented, which enables the adjusting of the HOG parameters. This code was developed for the work: O. Ludwig, D. Delgado, V. Goncalves, and U. Nunes, Trainable Classifier-Fusion Schemes: An Application To Pedestrian Detection, In: 12th International IEEE Conference On Intelligent Transportation Systems, 2009, St. Louis, 2009. V. 1. P. 432-437.)
- 2021-04-16 11:08:53下载
- 积分:1
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lsqcurvefit
非线性曲线拟合是已知输入向量xdata和输出向量ydata,并且知道输入与输出的函数关系为ydata=F(x, xdata),但不知道系数向量x。今进行曲线拟合,求x使得输出的如下最小二乘表达式成立:
min Σ(F(x,xdatai)-ydatai)^2(Nonlinear curve fitting is a known input and output vectors xdata vector ydata, and know the relationship between the input and output functions for ydata = F (x, xdata), but do not know the coefficient vector x. As least-squares curve fitting expression today, find x such that the output of the establishment:
min Σ (F (x, xdatai)-ydatai) ^ 2)
- 2014-09-20 12:35:52下载
- 积分:1
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Untitled3
matlad code for corgnitive radio
- 2011-10-17 13:57:57下载
- 积分:1