Coding

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)

very good files for matlab beginners very good file in different fields

车牌自动识别代码，附图 车牌自动识别代码，附图(Base image license plate Identification Base image license plate Identification)

Astrodynamics library file crack

说明：  支持向量机源代码、实例讲解，以及其他智能优化算法对支持向量机的参数进行优化(Support vector machine source code, examples, and other intelligent optimization algorithms to optimize the parameters of support vector machines)

wsn的TEEN算法，自己加入了相应的注释，相信大家会看的很轻松(wsn the leach method, its accession to the corresponding note, I believe we will see very easily)

说明：  粒子滤波，用于对衰退数据的衰退模型的预测，同时也适用于状态跟踪 - 5(particle filter)

用matlab实现2dpsk的图形仿真最基础的东西(Graphics with matlab simulation to achieve 2dpsk the most basic things)

灰度图像的二维Otsu自动阈值分割法 matlab源程序(Two-dimensional gray image Otsu automatic thresholding method)

给出一段信号，能够计算这段信号的过零率，利用Matlab编程，方便使用(Give a signal, this signal to calculate the zero crossing rate, using Matlab programming, ease of use)