MIMO_OFDM

这是计算thinwire的散射程序，对研究电磁散射的同行很有用(This is the calculation of the scattering thinwire procedures, the study of electromagnetic scattering useful peer)

find adjusted plane (find adjusted plane)

book C++ The book is to familiarize with the programming language C ++

最小二乘是广义预测的基础知识，学习最小二乘有利于学习广义预测控制(Generalized least squares is predicted on the basis of knowledge, learning conducive to learning generalized least squares predictive control)

Matlab Functions for determining if certaion matrix is: 1) Symmetric 2) Lower/Upper triangular (Unit/Strictly/Non-Strictly) 3) n-Banded 4) (Strictly) Diagonally Dominant 5) Isn t it positive definite

leap frog algorithm for solving metaheuristic problems and shortening the path to find the most optimized path.

Function direct I Filter Call: [Y,Zf]=FDI(B,A,X,Zi) Parameters A(N), B(M), X(L)and Y(L) as in FILTER. Input Parameters: Zi(max(N,M)-1,2): Conditions iniciales. Zi(:,1): from zeros. Zi(:,2): from polos. Output Parameters: Zf(max(N,M)-1,2): final conditions. Zf(:,1): from zeros. Zf(:,2): from polos.

matlab4.2 数值计算与编程 版本稍微有点老，还是有参考价值的(Numerical Methods and Programming matlab4.2 slightly older version, or a reference value)

这个程序是基于MATLAB的关于图象的中值滤波,计算图象的灰度值等(This program is based on MATLAB image median filter to calculate the gray value image, etc.)

This tutorial is designed to give the reader an understanding of Principal Components Analysis (PCA). PCA is a useful statistical technique that has found application in fields such as face recognition and image compression, and is a common technique for finding patterns in data of high dimension. Before getting to a description of PCA, this tutorial first introduces mathematical concepts that will be used in PCA. It covers standard deviation, covariance, eigenvectors and eigenvalues. This background knowledge is meant to make the PCA section very straightforward, but can be skipped if the concepts are already familiar.