BSS-based-on-Temporal-Structure

使学生通过本实验，从几何直观观察几种插值方法的特点和不同插值效果，进一步理解方法的应用背景和适用范围。从而加强和巩固学生的理论知识，提高分析问题，解决问题的能力，提高理论知识的应用能力及计算机编程能力。(Students through the experiment, visual observations from the geometric characteristics of several interpolation methods and different interpolation effects, and further understand the methods of application of the background and scope of application. In order to strengthen and consolidate the students the theoretical knowledge and enhance their analysis of issues, problem-solving abilities, improve the application of theoretical knowledge, ability and capacity of computer programming.)

目前比较流行的稀疏分解重构程序，可以用在人脸识别、字典构造等方面。(Currently popular sparse decomposition and reconstruction process, can be used in face recognition, dictionary structure and so on.)

MATLAB SIMULATION OF SLR,PLR & MULTIPULSE CONVERTER

Elementary mathematical and computional tools for electrical and computer engeneers using matlab

说明：  系统介绍了几种常用的小波变换程序（matlab）(The file introduces some common wavelet transformation programs )

对于初学matlab的同学会有帮助，IDW距离反比加权方法，一个师兄的毕设。( Matlab for beginner students will help, IDW inverse distance weighting method, A complete set of brothers.)

CSTH的建模及相关仿真任务，包括非线性模型的开环及闭环控制，及加噪声的改进开环控制(CSTH modeling and simulation tasks related)

光学双稳特性曲线 调制作用:It=Ii*T(phi) 反馈作用:phi=phi_0+K*It 得透射率T(phi)与相移phi的反馈关系是 T(phi)=[phi-phi_0]/[K*Ii] 式中phi_0为初始相移 对于多干涉(F-P干涉)有: T(phi)=1/[1+F*(sin(phi/2))^2](Optical bistable characteristic curve modulation role: It = Ii* T (phi) feedback: phi = phi_0+ K* It may transmittance T (phi) and phase-shifting relationship between phi feedback T (phi) = [phi-phi_0 ]/[K* Ii] where phi_0 for the initial phase shift for the multi-interference (FP interference) are: T (phi) = 1/[1+ F* (sin (phi/2)) ^ 2])

数值分析方法,主要里面涵盖了计算方法方面matlab程序！(Numerical analysis methods, which cover the main aspects of the calculation method matlab program!)

Vertex Component Analysis: A Fast Algorithm to Unmix Hyperspectral Data(This paper presents a new method for unsupervised endmember extraction from hyperspectral data, termed vertex component analysis (VCA).)