ch6example3

包含35个基本的GUI设计的源码，对初学者有很大帮助(GUI 35 includes the basic design of the source, very helpful for beginners)

找了很久的很不错kalmanfilter源代码，我比较了一下，是我找到的最好的。(a very good source code for kalmanfilter。)

利用回溯法来求解凸函数的最优值。采用非精确线性搜索，利用最少的迭代次数找到最优值。(backtracking method，change the step size in searching procesure and finally find the optimizaiton points. )

用于计算混沌分析中的柯尔莫哥洛夫熵的STB算法(for compute the Kolmogorov entropy)

本文在分析移动无线信道衰落特性的基础上,阐述了OFDM系统的基本原理,主要研究了OFDM通信系统中的基于导频符号的信道估计问题,分析了几种经典的信道估计算法以及相关的关键技术环节。 在此基础上介绍了OFDM技术在现实中的一个应用——WLAN IEEE802.11a系统模型,利用Matlab仿真软件完成OFDM系统信号生成、噪声生成、导频插入、循环前缀、调制、解调等部分的设计,最后结合计算机仿真对系统关键技术(导频、循环前缀、估计算法)的有效性和可行性进行了全面的分析与比较。适合matlab研究(Based on the analysis of mobile channel fading characteristics based on the OFDM system on the basic principles of research in the OFDM communication system of the pilot symbols based on channel estimation problem, an analysis of several classical channel estimation algorithm and the associated key technical links. On this basis, introduced OFDM technology in a practical application- WLAN IEEE802.11a system model, using Matlab simulation software to complete OFDM signal generation, noise generation, pilot insertion, cyclic prefix, modulation, demodulation and other parts of the design, the final combination of computer simulation of the system of key technologies (pilots, cyclic prefix, it is estimated that algorithm) the effectiveness and feasibility of a comprehensive analysis and comparison. Suitable for research matlab)

matpower中文帮助文档 Runs an optimal power flow and optionally returns the solved values in the data matrices(matpower help Runs an optimal power flow and optionally returns the solved values in the data matrices)

Five level three phase inverter

基于稀疏分解的图像信息修复，图片展示了一被“破坏”lina图像，采用此程序可以得到较好修复(Sparse decomposition based on image information restoration, image shows a being " destroyed" lina image, the use of this procedure can get a better fix)

Chaos Time Seris Toolbox For Analysis and Prediction Version2.9

模糊熵（Fuzzy Entropy）的MATLAB程序(MATLAB codes of Fuzzy Entropy)