Xampling

实现不同模式之间可分性的分析，找到两类特征区别于彼此的特征点/段，以用于分类。(Separability between different modes to achieve the analysis)

利用PSO优化SVM中的c和g c1:初始为1.5,pso参数局部搜索能力 c2:初始为1.7,pso参数全局搜索能力 maxgen:初始为200,最大进化数量 sizepop:初始为20,种群最大数量(Support Vector Machine Optimized by Particle Swarm Optimization )

mimo检测算法zf.zf-sic,mmse,mmse-sic性能曲线的matlab仿真，实测可用( mimo检测算法zf.zf-sic,mmse,mmse-sic性能曲线的matlab仿真，实测可用 MIMO detection algorithm zf.zf-sic, MMSE, mmse-sic performance curve of the MATLAB simulation, measured available)

主成分分析，计算权重，特征值，以及相应的主成分(principal component analysis)

说明：  主要对扩展卡尔曼滤波（EKF）、无迹卡尔曼滤波（UKF）及改进无迹卡尔曼滤波（MAUKF）算法进行研究，研究了三种算法的基本原理和各自的特点。其中扩展卡尔曼滤波器是将卡尔曼滤波器局部线性化，其算法简单，计算量小，适用于弱非线性、高斯环境。无迹卡尔曼滤波器是用一系列确定样本来逼近状态的后验概率密度。改进无迹卡尔曼滤波算法在UKF的基础上引入衰减因子。(The thesis focuses on the extended Kalman filter (EKF), unscented Kalman filter (UKF) and the improvement of unscented Kalman filter (MAUKF) algorithm research, researched the basic principles of three algorithms and their characteristics. Extended Kalman filter (EKF) is the local linear Kalman filter, the algorithm and computation are simple in weakly nonlinear and Gaussian environment. Unscented Kalman filter (UKF) is determined using a series of samples to approximate the state posterior probability density. Improved UKF algorithm (MAUKF) is introduced attenuation factor based on the UKF.)

这个文件中整理了大家常用的一些Matlab的函数及画图命令，需要的时候可以自由查找(This document compiled we used some of the Matlab functions and drawing commands, you need to find free time)

MATLAB程序，prce法计算模态参数(PRCE method )

correlation programs in matlab correlation programs in matlab correlation programs in matlab

Function to generate a voice signal, adding noise, and filtering to recover the original signal.

Pscad software is needed to run the simulation file.