iterative-learning-control

matlab三维点云重建网格建立实例编程教程，对反求的很有用(Matlab 3 d point clouds reconstruction grid establish instance programming tutorial, the reverse is very useful )

OMP算法应用在DOA估计，可以分辨多个目标，估计出目标方位，且有很高的分辨性能。(OMP algorithm used in DOA estimation, can distinguish multiple targets, to estimate the target orientation, and have a high resolution performance.)

说明：  自己编写的NB函数，可以读取UCI数据集中任意一个数据集。(I have written the NB function, can read any of the UCI data set data set.)

利用Matlab中自带的滤波设计滤波器，非常方便。(Filter design filter comes in Matlab, very convenient.)

elastic tire contacting rigid foundations

用Matlab写的基于多尺度小波模最大法的图像边界分割。用Matlab写的基于多尺度小波模最大法的图像边界分割。用Matlab写的基于多尺度小波模最大法的图像边界分割。(Written using Matlab image boundary segmentation based on multi-scale wavelet largest. Written using Matlab image boundary segmentation based on multi-scale wavelet largest. Written using Matlab image boundary segmentation based on multi-scale wavelet largest.)

模拟光在具有PT-symmetry 的固体结构里的传播，这是当前一个非常前沿的研究领域(The analog light in the spread of the solid structure of the PT-symmetry, which is a very cutting-edge research areas)

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)

包含KL、YCBCR等不同肤色模型的matlab比较与实现，以及相关文献(Containing KL, YCBCR matlab models such as comparison of different colors and implementation, and related literature)

C-C法求相空间重构的延迟时间,内有详细说明方法，(CC method for phase space reconstruction delay time, with detailed description of methods,)