ksvdbox12

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)

说明：  北航刘金锟老师的《机器人控制系统设计与MATLAB仿真》第二章和第三章附带的部分完整matlab源程序,我每个都仿真学习过了！(Beihang Liu Kun teachers, &quot Robot Control System Design and MATLAB simulation,&quot Chapters II and III with the part of the complete matlab source code, I studied a simulation of each of them!)

首先读取图像并生成二值图像，然后生成标注矩阵并用彩色显示，最后确定图像的统计性能(First reads the image and generates a binary image, and then generate the label matrix and displayed in color, and finally to determine the statistical properties of the image)

低秩子空间聚类。来源是Favaro在CVPR11年发表的一篇论文。(Low rank subspace clustering. )

Volume explorer tool by 3 orthogonal slices(Volume explorer tool by three orthogonal slices)

运用粒子群和改进粒子群算法求解典型函数 具有可视化的功能(And improve the use of particle swarm particle swarm algorithm with a typical function of visual function)

一种关于矢量控制的仿真，和大家一起研究啊(With regard to the simulation of a vector control, and we study together ah)

Symbol Synchronisation using matlab

可以运行的粒子群代码，包含一个测试函数Ackley(Particle swarm can run the code, including a test function Ackley)

说明：  MATLAB程序：其中包含10余个MATLAB程序或（函数）的源代码。程序中所作的注释，与书中关于对应算法的描述是一致的(pde image deniosing)