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matlab混合编程,入门与提高必备的文档(matlab & VC++)

matlab code for back code

MATLAB GUI设计学习手记（第二版）源程序 第9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) source learning methods recommended in Chapter 9 of the book: 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.)

小波包分析提取振动信号中的特征频率，在matlab R2009b调试通过，FMCW调频连续波雷达的测距测角。( Wavelet packet analysis to extract vibration signal characteristic frequency, In matlab R2009b debugging through, FMCW frequency modulated continuous wave radar range and angular measurements.)

关于信道盲均衡及其改进算法的源代码，有参考价值，请关注(On Blind Equalization Algorithm and its source code, there is reference value, please pay attention)

alpha stable noise generation with this code with m function

帮朋友写的主成分分析，有图形显示，注意请自行判断数据是否需要转置。(Help a friend wrote principal component analysis, a graphic display, attention please judge for themselves whether the data needs to transpose.)

一个关于检点检测的matlab程序 已经成功实现(A point detection matlab procedures have been successfully)

利用pca计算出两个统计量，通过对统计量的大小比较以判定故障是否发生。(Pca is calculated using two statistics, by comparing the size of the statistic to determine whether the fault occurs.)

说明：  多尺度特征熵，用于机械振动信号特征提取和故障诊断等方面(Multi-scale feature entropy for mechanical vibration signal feature extraction and fault diagnosis)