080435

想保留的成分为cos(2*π*n/3) 带通滤波器，滤除1+cos(2*π*n/3) 的成分，即想保留的成分为cos(π*n/4) 带阻滤波器，滤除cos(π*n/4) 的成分，(Want to keep the ingredients for the cos (2* π* n/3) band-pass filter, filter 1+ Cos (2* π* n/3) of the composition, that is, want to keep the ingredients of cos (π* n/4 ) band-stop filter, filter cos (π* n/4) of the composition,)

CDMA系统中随机扰动蚁群多用户检测算法(CDMA system in random disturbance on ant colony algorithm for multi-user detection)

雷达模型MATLAB描述，为雷达的信号处理提供模型(MATLAB description of the radar model for radar signal processing to provide model)

基于遗传算法的鲁棒控制器设计及画图程序,这是对于给定的一个系统进行的设计(Genetic Algorithm Based on Robust Control Design and drawing program, this is for a given design of a system)

说明：  医学图像处理各种程序 Medical image processing a variety of procedures(Medical image processing a variety of procedures)

用Simulink方式设计一个单边带传输系统并通过声卡输出接收机解调的结果声音(To design a single-sideband transmission systems using Simulink and through the sound card output receiver demodulation results of sound)

运筹学里的优化算法，源代码，而且经过matlab运行过了(Operations Research in the optimization algorithm, source code, and after a run Matlab)

75 份速查表，由 vikas 收集整理，包括：jQuery、HTML、HTML5、CSS、CSS3、JavaScript、Photoshop 、git、Linux、Java、Perl、PHP、Python、Ruby、Ruby on Rails、Scala、C#、SQLite、C++、C语言、Ubuntu、WordPress、Node.js、Oracle、NMAP、Mac OS X、Haskell、Unicode、PostgreSQL、Lisp、Matlab 等。(List of 75 parts by vikas collected, including: jQuery, HTML, HTML5, CSS, CSS3, JavaScript, Photoshop, git, Linux, Java, Perl, PHP, Python, Ruby, Ruby on Rails, Scala, C#, SQLite , C++, C language, Ubuntu, WordPress, Node.js, Oracle, NMAP, Mac OS X, Haskell, Unicode, PostgreSQL, Lisp, Matlab etc.)

支持向量机，实现2或多分类，基于matlab仿真，内有说明(ex6.m- Octave script for the rst half of the exercise ex6data1.mat- Example Dataset 1 ex6data2.mat- Example Dataset 2 ex6data3.mat- Example Dataset 3 svmTrain.m- SVM rraining function svmPredict.m- SVM prediction function plotData.m- Plot 2D data visualizeBoundaryLinear.m- Plot linear boundary visualizeBoundary.m- Plot non-linear boundary linearKernel.m- Linear kernel for SVM [?] gaussianKernel.m- Gaussian kernel for SVM [?] dataset3Params.m- Parameters to use for Dataset 3 ex6 spam.m- Octave script for the second half of the exercise spamTrain.mat- Spam training set 1 spamTest.mat- Spam test set emailSample1.txt- Sample email 1 emailSample2.txt- Sample email 2 spamSample1.txt- Sample spam 1 spamSample2.txt- Sample spam 2 vocab.txt- Vocabulary list getVocabList.m- Load vocabulary list porterStemmer.m- Stemming function readFile.m- Reads a le into a character string submit.m- Submission script that sends your solutions to our servers submitWeb.m- Alternative s)

work with 3d imagen on matlab