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color-difference
可以实现CIEDE2000,CIEDE94,CIEDE1976,CMC,LAB值计算(compute CIEDE2000,CIEDE94,CIEDE1976,CMC,LAB)
- 2012-03-30 16:28:51下载
- 积分:1
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Mo-phong
说明: Mobile Robot Simulation by Matlab
- 2019-01-05 14:28:27下载
- 积分:1
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gaosi
求矩阵的逆阵,利用高斯消去法,是本人编写的MATLAB源码(Inverse matrix array, the use of Gaussian elimination is, I prepared MATLAB source)
- 2008-04-16 22:21:44下载
- 积分:1
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quanxixue
用matlab来生成全息图的一个样例程序。简单实用(Using matlab to generate a sample program hologram. Simple and practical)
- 2013-12-23 15:30:15下载
- 积分:1
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The-mathematical-functions-of-MATLAB
涵盖了MATLAB多种常用的数学函数,包括:基本数学函数,MATLAB常用的三角函数,MATLAB的永久常数,MATLAB基本绘图函数等。(Covers a variety of commonly used MATLAB mathematical functions, including: basic mathematical functions, MATLAB used the trigonometric functions, MATLAB permanent constant, MATLAB and other basic drawing functions.)
- 2011-06-14 15:17:22下载
- 积分:1
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dxnb
单项逆变simulink仿真模型,成功测试。(Single inverter simulink simulation model, and successfully tested.)
- 2012-11-21 15:07:06下载
- 积分:1
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(13,17)卷积码
说明: 咬尾卷积码的MATLAB代码,讲的非常详细和深入(Biting tail convolutional code matlab code, said very detailed and in-depth)
- 2021-04-27 21:18:44下载
- 积分:1
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radar
自己编的一个雷达面显示程序,主要练习的是划线函数的使用技巧(radar,for fun,)
- 2009-03-09 15:56:44下载
- 积分:1
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bandpass
Bandpass filter program.
- 2009-11-12 01:29:23下载
- 积分:1
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anp
NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法,它是在网络分析法(AHP)基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个:
1 确定因素,并建立网络层和控制层模型。
2 创建比较矩阵。
3 按照指标类型针对每列进行规范化。
4 求出每个比较矩阵的最大特征值和对应的特征向量。
5 一致性检验。如果不满足,则调整相应的比较矩阵中的元素。
6 将各个特征向量单位化(归一化),组成判断矩阵。
7 将控制层的判断矩阵和网络层的判断矩阵相乘,得到加权超矩阵。
8 将加权超矩阵单位化(归一化),求其K次幂收敛时的矩阵。其中第j列就是网络层中各元素对于元素j的极限排序向量。
(NP is a professor at the University of Pittsburgh TLSaaty presented in 1996, an adaptation of non-independent Hierarchy of decision-making method, which is the analytic network process (AHP) formed on the basis of the development of a new and practical decision-making method . The key steps are the following:
A determining factor, and a network layer and control layer model.
2 create a comparison matrix.
For each of the three types of indicators in accordance with normalized columns.
4 find the maximum for each comparison matrix eigenvalue and the corresponding eigenvectors.
5 consistency test. If not satisfied, then the comparison to adjust the corresponding matrix elements.
6 will each feature vector units of (normalized), to determine the composition of matrix.
7 to determine the control layer and network layer to determine matrix matrix multiplication, to be weighted super-matrix.
8 of the weighted super-matrix units of (normalized), seeking the powe)
- 2010-01-28 09:36:45下载
- 积分:1