MATLAB-program-teachingbook--2660

说明：  通过求矩阵特征多项式的根来求其特征值 幂法求矩阵的主特征值及主特征向量 瑞利商加速幂法求对称矩阵的主特征值及主特征向量 收缩法求矩阵全部特征值 收缩法求矩阵全部特征值 位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量 QR基本算法求矩阵全部特征值 (Characteristic polynomial by the root of a matrix to find the eigenvalues ​ ​ of a matrix power method and the main characteristics of the main features of the value of acceleration power vector Rayleigh quotient method Symmetric Matrix Eigenvalue and the main characteristics of the main vector of contraction method to shrink the value of all the characteristics of a matrix Law of the value of all the characteristics of a matrix inverse power law shift away from a constant of a matrix eigenvalue recently and its corresponding eigenvector matrix QR algorithm for getting all the characteristics of the basic values)

核主成分分析方法，是主成分分析的一种改进算法，是一种非线性的特征提取方法。 (Kernel principal component analysis, is the principal component analysis of an improved algorithm, is a nonlinear feature extraction method.)

通过比较传统仅移相的波束与移相+理想延时的波束，来说明述S波段宽带阵列孔径渡越现象(To demonstrate the aperture effct of S_band windband array, this programe comparing the beam pattern of the traditional beamforming method "phase shifting only" with that of "phase shifting+ ideal delay".)

802.16 System: simulation giving performance of the WIMAX

基于ＮＳＧＡ方法的多目标遗传算法程序,本程序为通用包,可自行修改.(NSGA method based on multi-objective Genetic Algorithms procedures, the procedures for the general packet may amend its own.)

说明：  ADMM是一个高效的优化算法，可以用在很多领域中，1范数是一种常用的目标函数。(ADMM is an effective, fast optimizing algorithm and can be used in many applications. 1-norm is a commonly used objective function.)

Region growing from a specified point using MATLAB.

说明：  texture feature extraction using matlab

这篇文章讲述基于相空间重构的模糊集用于复时间序列的暂态模式。文章详细说明关于时间序列的构建、说明暂态识别的概念、原理，优化函数的选择和优化结果等均有很好的步骤和完整实验结果。(This article describes the phase space reconstruction based on fuzzy sets for the transient model complex time series. Article details the construction of time series to illustrate the concept of transient identification, theory, optimal function of the selection and optimization results of the steps are very good and complete results.)

edge detection using gabbis