PeMAQ16

说明：  神经网络的matlab实现 BP神经网络的一个简单实现方法(BP Neural Networks code)

详解matlab/simulink通信系统建模与仿真的教案(Detailed matlab/simulink communications system modeling and simulation lesson plans)

Data compression tools such as JPEG, KL TRANSFORM, DCT ETC ALGORITHM ARE given

matlab pso-xc evolve2.m matlab pso-xc evolve.m

matpower4.0的matlab程序，及说明文件。每个程序都有详细的解释说明(matpower4.0 matlab procedures, and documentation. Each program has a detailed explanation)

MATLAB GUI设计学习手记（第二版）源程序 第8章 本书推荐的学习方法： 1）若您是一个MATLAB初学者，且有充裕的时间来学习GUI设计，您可以从本书的第1章开始循序渐进地学习。 2）若您是一位MATLAB初学者，且时间非常紧迫，建议您先学好第1章，然后依次学习第4章、第5章和第6章，其他章节请根据项目需要有选择性地学习。 3）若您已经掌握了MATLAB的基础语法知识，有一定的MATLAB编程基础，也请浏览一下第1章的内容，尤其是专题分析部分。然后先学习本书第4、5和6章，其他章节请根据项目需要有选择性地学习。 4）若您是一位MATLAB GUI方面的专家或老师，您可以将本书作为一本教学的参考书，本书内容全面、讲解详实、代码精炼，是不可多得的GUI宝典。 (MATLAB GUI design learning Hearts (second edition), Chapter 8 of the book recommended source learning methods: 1) If you are a MATLAB beginners, and there is plenty of time to learn GUI design, you can start from Chapter 1 of the book The step-by-step learning. 2) If you are a MATLAB beginners, and the time is very tight, it is recommended that you first learn to Chapter 1, followed by learning Chapter 4, Chapter 5 and Chapter 6, in other sections based on project needs selective learning . 3) If you have mastered the basic grammar of the MATLAB, the MATLAB Programming Fundamentals, please visit the Chapter 1, in particular thematic analysis section. First learning book chapters 4, 5 and 6, then the other chapters selective learning based on project needs. 4) If you are an expert or teacher of a MATLAB GUI, you can book as a teaching reference books, the book is comprehensive, explain the detailed, refined code, is a rare GUI canon.)

matlab 独立分量分析 fastica,icaplot,remmean,whiten，盲源分离,去均值,白化处理(matlab independent component analysis fastica, icaplot, remmean, whiten, blind source separation to the mean, whitening treatment)

SUDOKU CONTROL VIA MATLAB APPROACH

25个有趣的matlab程序，可以让人体会到matlab的乐趣。(25 very interesting programs)

matlab codes for RLS Algorithm Demo