11Vol5No4

hanning hamming blackman windowing technique

一种快速数字AGC结构的分析与设计，希望对大家有帮助(Structural analysis and design of a fast digital AGC)

Finite element programming with Matlab

一段关于POV技术的取模功能代码,在matlab中需要先导入图片，二维码另存为img(a set of code about POV technology )

本书提供了使用MATLAB的实践性指导。MATLAB已成为适合多学科、多种工作平台的功能强大、界面友好、语言自然并且开放性强的大型优秀应用软件，同时也已成为国内外高等院校高等数学、数值分析、数字信号处理、自动控制理论以及工程应用等课程的基本教学工具。本书按逻辑编排，自始至终用实例描述；内容完整且每章相对独立；是一本简明的MATLAB参考书，既适用于初学者，也适用于高级MATLAB用户。对MATLAB与FORTRAN、C等语言结合的描述更是所有MATLAB书籍中少有的一大特色。 本书适合作为理工科高等院校研究生、本科生教学用书，也可作为广大科研工程技术人员的自学用书。(The book provides a practical guide to using MATLAB. MATLAB has become suitable for multi-disciplinary, a variety of work platform is a powerful, friendly interface, language, natural and open the strong outstanding applications, but also has become the domestic and foreign institutions of higher learning higher mathematics, numerical analysis, digital signal processing, automatic control theory and engineering application programs, basic teaching tool. Logical arrangement of the book from start to finish with an example description complete and relatively independent of each chapter is a simple MATLAB reference, both for beginners, but also for advanced MATLAB users. Language combined with a description of MATLAB and FORTRAN, C, is a major feature of the few in all of MATLAB books. The book is suitable as a science and engineering colleges and universities graduate, undergraduate teaching book, the book is also available as self-study of the majority of scientific engineering and te)

元胞自动机excitable，matlab仿真代码，非常有参考价值。能成功实现。(Cellular Automata excitable, matlab simulation code, very valuable reference. Can be successfully realized.)

特徵粹取（feature extraction）是特徵選取（feature selection）的延伸，簡單地說，我們希望將資料群由高維度的空間中投影到低維度的空間，因此，我們必須找出一組基底向量（base）來進行線性座標轉換，使得轉換後的座標，能夠符合某一些特性。 我們可以將特徵粹取分成「包含類別資訊」和「不包含類別資訊」兩大類。包含類別資訊指的是我們已經知道哪些資料分別歸屬於哪一類；而不包含類別資訊的特徵粹取則適用於我們不知道手上的資料點分別該歸屬於哪一類，甚至連該劃分成幾類都不知道的情況。對於這兩大類資料，可以分述如下： 對於「不包含類別資訊」的資料，我們通常使用「主要分量分析」（principal component analysis），簡稱 PCA。 (Cuiqu features (feature extraction) is feature selection (feature selection) extension, simply put, we want to base the projection data the high-dimensional space to low-dimensional space, so we have to find a set of basis vectors ( base) to the linear coordinate conversion, so that after the coordinate conversion, can meet a number of features. We can feature Cuiqu into " category contains information" and " does not contain a category of information," two categories. Contains categories of information refers to what we already know what kind of information are attributed to Cuiqu features include categories of information are not applicable to information we do not know the points are in the hands of the home in which category, and even that is divided into several class do not know the situation. For these two categories of information, can be divided as follows: For information " does not include the categories of information" , we usually use the " )

Bloc matching video processing

对于配电网负荷不对称情况下各段线路结构系数进行计算(For the case of asymmetric load distribution network circuit structure coefficient of each segment is calculated)

说明：  Buck基础电路MATLAB的Simulink仿真，12V-5V，参数已经调好 PID控制Buck电路原理图（VISIO图）(Simulink simulation of Buck basic circuit MATLAB, 12V-5V, parameters have been adjusted PID control Buck circuit schematic (VISIO diagram))