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matlab code for generation of data to svpwm

说明：  matlab 帮助文档 有什么不懂得地方就看看 很方便(matlab help document what do not know where to look easy)

APF model matlab simulink model

This folder or any similar folder such as this created to hold your speech files, should be copied into the root folder C: , created on the local hard drive. Then the path will read thus C:SpeechDataTope... etc. An alternative is to modify the file setTemplates.m to change the directory as appropriate. Try to use the same microphone for training as well as for recognition to obtain improved accuracy. You might also need to tweak your sound card s mic input level. The recognition time is dependent on systems s processing power and has been observed at between 1 and 5 seconds on various x86 platforms. To speed up recognition, you can implement unconstrained DTW (this is the code portion taking most time).

Matlab ART algorithm for finding length of beam through each pixel

考虑了用LMS和RLS算法实现码分多址（CDMA）系统的盲多用户检测matlab仿真。由此可以加深对这方面知识的理解(Consider the use of LMS and RLS algorithm code division multiple access (CDMA) system, blind multiuser detection matlab simulation. It can deepen the understanding of knowledge in this area)

clc close all clear all I=imread( desert.jpg ) [r c]=size(I) bs=16 Block Size (8x8) nob=(r/bs)*(c/bs) Total number of 8x8 Blocks Dividing the image into 8x8 Blocks kk=0 for i=1:(r/bs) for j=1:(c/bs) Block(:,:,kk+j)=I((bs*(i-1)+1:bs*(i-1)+bs),(bs*(j-1)+1:bs*(j-1)+bs)) end kk=kk+(r/bs) end Accessing individual Blocks figure imshow(Block(:,9,1)) This shows u the fist 8x8 Block in a figure window figure imshow(Block(:,:,2))

matlab的比较基础经典的教程，适合初学者的matlab从入门到精通(matlab basis for comparison classic tutorial for beginners from entry to the master)

Adaboost是一种迭代算法,其核心思想是针对同一个训练集训练不同的分类器(弱分类器),然后把这些弱分类器集合起来,构成一个更强的最终分类器(强分类器)。(Adaboost is an iterative algorithm, the core idea is the same training set for different classifiers (weak classifiers), then these weak classifiers together to form a stronger final classifier (strong classifier).)

分别用Ansys和Matlab建立的混凝土骨料随机投放模型，建立二维，三维数值混凝土模型，对分析混凝土的破坏机理具有重要参考价值。(Concrete aggregates were used Ansys and Matlab established random delivery model, a two-dimensional, three-dimensional numerical model of concrete, concrete analysis of the failure mechanism has important reference value.)