matlab-edu-codes

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：  压缩包中包含两个matlab文件： remez_frf.m 为使用remez算法设计旁瓣1/f衰减滤波器程序； myfrf.m 为其中使用到的惩罚函数； frf的意思是频率响应函数。(Compression matlab package contains two files: remez_frf.m algorithm designed for the use of remez sidelobe 1/f attenuation filter procedures myfrf.m use for which the penalty function frf mean frequency response function.)

基于加权LS-SVM的非线性系统内模控制的仿真程序，由于辨识信号采用的都是随机信号，不是数值固定的信号，所以程序每次运行的结果都可能有所不同(Emulator mode control based on weighted LS-SVM nonlinear systems identification signal are random signal, not the value of the fixed signal, so the program each time you run the results are likely to differ)

描述函数法非线性系统分析实例，已经测试可直接在matlab中打开并运行。(Nonlinear system analysis function method described examples have been tested directly in matlab open and run.)

pammode function in matlab

自己编写的阵列信号DOA估计算法，包括MUSIC,root-MUSIC，esprit,F-sapes,MVDR.(I have written an array of signal DOA estimation algorithms, including MUSIC, root-MUSIC, esprit, F-sapes, MVDR.)

This function is used to completely describe the objective functions and the range for the decision variable space etc.

A Vector Quantization Technique for Image Compression using Modified Fuzzy Possibilistic C-Means with Weighted Mahalanobis Distance

matlab-应用程序举例子，实践应用，基础入门，语法基础，编程风格(matlab-application examples, practical applications, introductory, basic syntax, programming style)

用teager能量算子来解调出复杂信号的纯调频挑夫函数，用LMD来进行局部均值分解(Pure FM demodulated complex signal porters function with Teager energy operator, using LMD to carry out the local mean)