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* A. Salih, Dept. of Mechanical Engg., NIT - Trichy, India. * ************************************************************************* * THIS PROGRAM SOLVES TWO-DIMENSIONAL LINEAR WAVE EQUATION IN A * * DOUBLY PERIODIC DOMAIN USING FINITE DIFFERENCE METHOD * * -Schemes: 1. Upwind Scheme * * 2. MacCormack Method * * 3. ENO-2 Scheme * ************************************************************************* *

阵列天线中子空间算法中MUSIC算法的一种改进方法即求根MUSIC算法。(Neutron array antenna space MUSIC algorithm, an improved algorithm method that Root MUSIC algorithm.)

使用SVM中的1V1以及1VO算法实现对数据的分类以及matlab实现(Classification of data and implementation of matlab using 1V1 and 1VO algorithms in SVM)

说明：  用于检验两个时间序列是否具有格兰杰因果关系(Used to test whether two time series have Granger causality)

说明：  讲解MATLAB在数学各分支中的应用 函数和命令 应用与技巧(MATLAB in mathematics to explain the various branches of functions and commands in the application of Tips and Tricks)

suma armax suma armax suma armax suma armax suma armax

是学习鲁棒自适应控制的很好的例子,对进一步掌握matlab很有帮助.(learning robust adaptive control of the good examples for further grasp Matlab helpful.)

一维TM模的PML边界设置......................(PML(perfect Match Layer) Boundary Condition of 1D TM mode...)

research paper on the development of mppt on varies artificial intelli algorithms

MUSIC算法[1]是一种基于矩阵特征空间分解的方法。从几何角度讲，信号处理的观测空间可以分解为信号子空间和噪声子空间，显然这两个空间是正交的。信号子空间由阵列接收到的数据协方差矩阵中与信号对应的特征向量组成，噪声子空间则由协方差矩阵中所有最小特征值（噪声方差）对应的特征向量组成。(MUSIC algorithm [1] is a feature space based on matrix decomposition method. From the geometric point of view, the signal processing can be decomposed observation space the signal subspace and the noise subspace, it is clear that the two spaces are orthogonal. Signal Subspace data received by the array covariance matrix and eigenvectors corresponding to the signal component, the noise subspace from the covariance matrix of all the smallest eigenvalue (noise variance) eigenvector components.)