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annexamples
实现wf功能,matlab源程序(Wf realize functions, matlab source)
- 2007-07-26 12:20:23下载
- 积分:1
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Newfolder
image inpainting paper
- 2010-12-05 22:28:45下载
- 积分:1
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ca-cfar
说明: CFAR算法 中CA-CFAR的代码实现,用于毫米波雷达信号检测(Code implementation of CA-CFAR in CFAR)
- 2021-01-30 19:58:13下载
- 积分:1
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GraphicsAndGUIsWithMATLAB3rdEd2003Part1
Using Graphic in MatLab part 01
- 2010-12-13 10:12:47下载
- 积分:1
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five_level_inverter_facts
facts device simulation with simulink matlab file with five level inverter application
- 2014-09-20 02:41:30下载
- 积分:1
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using_wigner
时频信号分析技术,双线性方法,Wigner-Ville分布的应用,可以得到高斯包络线性调频信号的WVD图(Time-frequency signal analysis, bilinear method, Wigner-Ville distribution application, you can get WVD FIG Gaussian envelope chirp signal)
- 2021-03-29 19:49:10下载
- 积分:1
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mnyz
一杯沸水冷却,圆柱体模型,底面半径0.05m,高0.1m,周围温度20度,初始水温100度
方程是四维输运方程(常数a^2=k/(c*p),k是热传导系数0.6006焦/(米*秒*度))
初始条件:t=0时水等于100度
边界条件:1.上下壁都是自由冷却,第三类边界条件,周围温度保持在20度(H=k/h,h取1)
2.杯壁绝热,第二类边界条件
图形显示格式,取过圆柱轴的截面温度变化将其做成动画.
(A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)
- 2007-11-06 20:57:53下载
- 积分:1
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一种快速图象中值滤波算法
一种快速图象中值滤波算法 北京理工大学学报转载(A fast image median filtering algorithm Beijing Polytechnic University Journal reprinted)
- 2005-05-29 22:04:21下载
- 积分:1
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matlab_and_examples
介绍MATLAB编程并且还有实例,供大家参考(Introduced and there are examples of MATLAB Programming)
- 2010-03-09 18:36:33下载
- 积分:1
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Fisher
说明: 使用Fisher 现行判别函数对给定的样本进行训练,对于两类,Fisher线性判别函数很好做,就是 w = Sw (m1 - m2), 其中:Sw为总类内离散度矩阵, m1, m2, 为两个模式类的均值(Fisher discriminant function using the current sample of a given training for two, Fisher linear discriminant function is well done, that is, w = Sw ' (m1- m2), where: Sw of the total within-class scatter matrices, m1, m2, the mean value for the two pattern class)
- 2010-03-19 11:27:22下载
- 积分:1