chap_5

MATLAB FUZZY LOGIC CONTROLLER

用matlab实现卷积码的编码与解码过程(Convolutional code with matlab realize the encoding and decoding process)

基于稀疏的目标跟踪算法，2011年大连理工大学硕士毕业论文。(Tracking algorithm based on sparse targets, 2011, Dalian University of Technology Master' s Thesis.)

介绍一下图像增强技术的背景和意义以及现代图像增强技术发展的现状，其次是介绍图像增强技术的基本算法。由于要用到Matlab进行仿真，第三章将主要介绍Matlab软件在图像处理中的功能和运用。最后将详细的介绍直方图算法的意义、性质、显示及映射，并利用Matlab进行图像增强的仿真实现且达到了论文预期的目的和满意的实验结果。(Recommend the picture to strengthen the background , meaning and current situation of strengthening the technical development of modern picture of technology at first, secondly introduce the basic algorithm that the picture strengthens technology. Because should use Matlab and carry on emulation , chapter three will mainly introduce the Matlab software function and application in pattern process. Finally detailed introduction meaning, nature, showing and shining upon, histogram of algorithm, utilize emulation that Matlab strengthened the picture to realize and achieve the anticipated purpose of the thesis and satisfactory experimental result.)

暂停，终止，继续，非常高效，实用，适合比较大程序(Suspend, terminate, continue, very efficient, practical, suitable for relatively large program)

说明：  spwvd算法的程序代码，非常实用 在毕设中需要用到跳频信号的应该都能用到该代码(Smooth pseudo Wigner distribution)

说明：  matlab宝典的很多程序和实例，这本书很有用，是系统学习matlab的好资料，欢迎大家下载.(Collection of the many procedures and matlab examples, this book is useful, is the systematic study of matlab good information, are welcome to download.)

Mann-Kendall突变检验的matlab程序，设置的置信度95 ，当然这个很容易自己调整(Mann-Kendall mutation test matlab program, set 95 confidence level, of course, this is very easy to make their own adjustments)

压缩包包括5个群智能算法的程序，即PSOGA-PID优化，PSO的多目标perota优化问题，基于TSP-PSO算法，遗传算法求解TSP问题，遗传算法求解TSP问题(Compression package includes five swarm intelligence algorithm procedures, namely PSOGA-PID optimization, PSO perota multi-objective optimization problem, TSP-PSO algorithm based on genetic algorithm for TSP, genetic algorithm for TSP)

关于混沌时间序列预测的一些论文资料,有pdf和caj格式。(Some papers about the prediction of chaotic time series.)