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TempC
simulates the temperature distribution in a rod.
- 2011-08-27 22:54:25下载
- 积分:1
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deteminig_switching_time_svpwm
this is the simulation designed to know the switching time of the svpwm and the simulink model of the 6-pulse invetre and induction model with the krause d-q transformation is simulated .......
- 2009-10-07 12:47:49下载
- 积分:1
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Matlab_
MATLAB在通信调制解调中的应用 (MATLAB in the communication modem application)
- 2009-10-12 23:06:46下载
- 积分:1
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matlab.7.programming
matlab教程 不过 大家看看
比较实用哦!内容很详细()
- 2008-05-23 11:49:41下载
- 积分:1
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yuce
较新的计算Volltera级数预测的程序,可以稳定运行。(a new fangfa of vollteral)
- 2009-12-15 18:26:09下载
- 积分:1
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symMat
A matrix of symbolic elements is reasonably useful for many analytic linear algebra applications, and for analytic vector, matrix and tensor differentiation.
This function produces a matrix of arbitrary dimension of symbolic elements that are indexed by their position in the symbolic matrix for ease of reference.
EXAMPLE
>> M = symMat([2 2], m , real )
M =
[ m11, m12]
[ m21, m22]
>> class(M)
ans =
sym
>> det(M)
ans =
m11*m22 - m12*m21
- 2010-03-02 02:13:12下载
- 积分:1
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Program_exercise3
this file simulates robust control with LMI
- 2013-07-26 16:18:20下载
- 积分:1
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alpha_beta_gamma_filting
该函数实现标准的常增益滤波算法,用于状态估计,目标跟踪(Alpfa beta gamma filter)
- 2011-10-05 11:48:30下载
- 积分:1
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Code
说明: 随机森林是一种有监督学习算法,是以决策树为基学习器的集成学习算法。随机森林非常简单,易于实现,计算开销也很小,但是它在分类和回归上表现出非常惊人的性能,因此,随机森林被誉为“代表集成学习技术水平的方法”。(Random forest is a supervised learning algorithm, which is an integrated learning algorithm based on decision tree. Random forest is very simple, easy to implement, and the cost of calculation is very small, but it shows amazing performance in classification and regression. Therefore, random forest is known as "the method representing the level of integrated learning technology".)
- 2019-12-20 09:26:39下载
- 积分:1
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KernelDS
基于泰勒技术展开的自适应滤波函数的图像处理,可实现去噪,超分辨率,去除马赛克等(Taylor expansion based on adaptive filtering techniques of image processing functions can be realized denoising, super resolution, remove mosaic)
- 2011-04-23 14:38:51下载
- 积分:1