MATLAB6.0.shuxueshouce

说明：  这是一段关于matlab的for循环的研究演示例子的说明(This is the section on Matlab for recycling demonstration examples of the note)

这本书的名字叫《matlab基础与编程（第二版）》很适合matlab初学者(This book was called “matlab-based and Programming (2nd Edition”very suitable for matlab beginners)

MATAL的一个练习包 用于新手的初次尝试(MATAL of a practice package for the novice first attempt)

BivaShrink方法、模型1、模型2、模型3（TrivaShrink方法）、BayesShrink方法、 LAWMLShrink方法的DWT实现和DT_CWT实现。(BivaShrink method, model 1, model 2, model 3 (TrivaShrink method), BayesShrink methods, LAWMLShrink methods DT_CWT realization and the realization of DWT.)

noise cancelation using matlab, select your audio file

BP算法用于分类，MATLAB环境， 可以直接运行。(BP algorithm is used for classification, can run directly.)

本代码包括Music算法以及Root-music算法的仿真实现，对初学者大有裨益(The code includes Music algorithms and simulation Root-music algorithm of great benefit for beginners)

用matlab实现kaiser窗，非常实用。(Using matlab to achieve kaiser window, very useful.)

MATLAB宝典 配套源文件,有相关书籍的话很适合大家学习(this is matlab .m source)

The VLFeat open source library implements popular computer vision algorithms specializing in image understanding and local featurexs extraction and matching. Algorithms incldue Fisher Vector, VLAD, SIFT, MSER, k-means, hierarchical k-means, agglomerative information bottleneck, SLIC superpixes, quick shift superpixels, large scale SVM training, and many others. It is written in C for efficiency and compatibility, with interfaces in MATLAB for ease of use, and detailed documentation throughout. It supports Windows, Mac OS X, and Linux. The latest version of VLFeat is 0.9.19.