IbrahimTimeDomainMethod

MPCA在工业工程监控中程序。。。。。。。。。。。。(..............................................)

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)

设定房间大小，并设定T60衰减系数，该软件根据声场理论，计算室内声场多途情况，还可以生成mex64文件，供MATLAB调用(The size of the room is set and the T60 attenuation coefficient is set. The software calculates the indoor acoustic field multipath according to the sound field theory, and also generates mex64 files for MATLAB calls.)

神经网络自适应竞争SOM算法，matlab算例，共9例，非常实用，可运行。(Neural network adaptive competition SOM algorithm, matlab example, a total of nine cases, very practical, you can run.)

说明：  meanshift算法的matlab源代码，很实用，经典的源代码(meanshift algorithm matlab source code, it is practical, the classic source code)

说明：  用于主成分分析和概率主成分分析的Matlab程序(Used principal component analysis and probabilistic principal component analysis Matlab program)

Signal And Systems Lab_7

本程序为多维面阵的波达方位估计的程序，用于面阵俯仰角方位角定向(DOA DOA estimation procedures for multi-dimensional planar array of procedures for the azimuth orientation of the pitch angle of the plane array)

对于特征维数降维的matlab工具箱，包括PCA LDA　ＰＰＣＡ　等(Matlab Toolbox for Dimensionality Reduction (v0.7.1- June 2010) )

kalman滤波，能够读取数据样本，并对下一数据进行滤波(kalman filtering, be able to read data samples, and the next data filtering)