MATLAB-distance-protection

说明：  基于三对角矩阵LU分解的追赶法，编写的追赶法分解五对角矩阵，并在此基础上解以五对角为系数矩阵的线性方程组。(Tridiagonal matrix based on LU decomposition method to catch up, catch up with the preparation of the Decomposition of five pairs of diagonal matrix, and on this basis for the solution to five diagonal coefficient matrix of linear equations.)

西北工业大学研究生课程，数字信号处理上机作业三(Northwestern Polytechnical University post-graduate courses, digital signal processing, machine operating)

泰勒级数展开算法是需要初始估计位置的递归算法，在每一次的递归中通过求解TDOA测量误差的局部最小二乘来改进估计的位置。 本程序基于MATLAB，对泰勒级数展开算法进行了仿真。初始位置的选取很重要，建议和其他简单的算法进行协同，对信号源位置进行定位。 希望对研究信号源定位的同志有所帮助。(Taylor series expansion algorithm is the need to estimate the location of the initial recursive algorithm, in every recursive TDOA measurement error by solving the partial least squares to improve the position estimate. The program is based on MATLAB, the Taylor series expansion algorithm for the simulation. The selection of the initial position is very important, the proposed algorithm and other simple coordination, to locate the signal source location. Want to locate the source of research help comrades.)

说明：  一个简单的计算器gui界面，实现加减乘除和三角函数计算。(A simple calculator GUI interface to realize addition, subtraction, multiplication and division and trigonometric function calculation.)

Matlab经典入门教程1，帮助初学快速入门，进而掌握它。(Matlab tutorial 1, to help beginners get started quickly, then grasp it.)

Real-Time Simulation of Large HVDC-AC Grids

ofdm system for wireless communication both transmitter and receiver part for AWGN channel.

逐步判别分析的主函数 用于分类 [sel,c,c0,re,P]=StepclaassV2(data,[50 50 50],data,10) 输入变量 x为训练集.每行为一个样本，每列为一个变量. Class_x,为训练集的分类情况，一行，为各类样本数量,例如[5 6 9] Test为待分类样本. 输出变量：sel为选择的变量序号，c,c0为拟合出的判别函数.re为对Test的判别结果,P为其后验概率. author 王新 2012.4.8 例子Sample: load fisheriris x=meas Class_x=[50,50,50] Test=meas(1:5,:) Fa1=4 [sel,c,c0,re,P]=StepclaassV2(x,Class_x,Test,Fa1)( Stepwise discriminant analysis for the classification of the main function [sel, c, c0, re, P] = StepclaassV2 (data, [50 50 50], data, 10) input variables x as the training set, each conduct a sample of each as a variable. Class_x, the classification for the training set, a row, the number of samples for all types, for example, [5 6 9] Test sample to be classified. output variable: sel for the selected variables serial number, c, c0 is fitted discriminant function. re discrimination results for the Test, P its posterior probability. author Wang 2012.4.8 examples Sample: load fisheriris x = meas Class_x = [50,50,50] Test = meas (1:5, :) Fa1 = 4 [sel, c, c0, re, P] = StepclaassV2 (x, Class_x, Test, Fa1))

AR模型频谱估计，包含直接发，相关函数法，burg法(AR model spectrum estimation, including direct transmission, correlation function method, Burg method)

好用的matlab程序，专门针对冲激串的傅立叶变换设计的(welldone，good things to learn matlab)