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bifmapadeikeda
Bifurcation Digram of Ikeda map
- 2013-01-09 14:27:16下载
- 积分：1
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61d47eec86ea
jakes model explaintion with source code
- 2011-08-05 16:24:08下载
- 积分：1
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Stochastic-analysis-foundation
《随机分析学基础》是一本广泛应用于各个领域的书籍，如通信、控制、生物、社会科学等( Stochastic analysis foundation is a very useful book, it has been widely applied in various fields, such as communication, control of biological, social science)
- 2014-10-15 15:00:31下载
- 积分：1
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meterial
利用matlab和最后破坏准则对复合材料层合板的强度破坏判断(Using matlab and the final failure criterion for composite laminates to determine the intensity of damage)
- 2011-01-07 21:07:10下载
- 积分：1
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3D-image-quality-assessment
立体图像质量评价，文章以cyclopean image为核心构建算法。(Full-reference quality assessment of stereopairs accounting for rivalry)
- 2014-09-18 10:11:12下载
- 积分：1
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matlab_rar
MATLAB lab to sumulate Cells
- 2010-08-25 20:15:26下载
- 积分：1
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durbin123
perform the Durbin test for balanced incomplete block design
- 2010-10-25 05:40:58下载
- 积分：1
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200962456912721
matlab的课件三，以前上传了两个加这个就全了(matlab)
- 2010-01-10 21:14:09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
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compression-avec-psychoachostique
This is amatlab code fo compression with psychoacoustique
- 2013-05-11 22:46:29下载
- 积分：1
