geneticalgorithmtoolbox

matlab图像处理的一些代码 用matlab处理图像的一些很有用的代码(matlab image processing, matlab image processing with some code of some very useful code)

array gain of MRC in a Rayleigh fading channel

the code shows the step response of a closed loop system the code shows the step response of a closed loop system the code shows the step response of a closed loop system

盲均衡是指均衡器能够不借助训练序列 ,而仅仅利用所接收到的信号序列即可对信道进行自适应均衡。 (Blind equalization means without the aid of the equalizer training sequence can, but only using the received signal sequence to the channel adaptive equalization.)

说明：  用最速下降法、共轭梯度法、牛顿法、BFGS求解范例目标函数.(Solving the case objective functions using the steepest descent method, conjugate gradient method, Newton method and BFGS method.)

evaluates a linear basis function and computes L2 and H1 error for 1D finite element method

Instructions: Unzip the selected file (A.zip or B.zip) in Matlab current directory (C:/.../Matlab/work is the default one). Type the name of main function on Matlab command window. Now a simple and intuitive GUI should appear. You can use images/data present in data.zip: just unzip them in Matlab current directory.

说明：  DEAP 数据库 EEG_feature.txt 包含了1216个脑电信号样本的160维特征，每行为一个样本，每列为一种特征。特征从左至右分别是每个脑电电极的theta（1-32列）、slow alpha（33-64列）、alpha（65-96列）、beta（1-97128列）、gamma（129-160列）波段的脑电特征。 subject_video.txt 包含了1216个脑电信号对应的32名被试和38段视频信息，其中包含两列。第一列是对应的被试编号，第二列是对应的视频编号。 EEG_feature.txt 与 subject_video.txt和valence_arousal_label.txt中每行都是一一对应的，例如subject_video.txt的第二行就是EEG_feature.txt中第二个样本（第二行）的被试和视频信息；valence_arousal_label.txt的第二行也是EEG_feature.txt中第二个样本（第二行）的愉悦度和唤醒度标签。valence_arousal_label.txt中第一列为愉悦度标签，1代表positive，2代表negative；第二列为唤醒度标签，1代表high，2代表low。 DEAP数据库并未提供情感类别标签。(EEG dataset, including DEAP database and MAHNOB-HCI database)

这是信号处理中循环谱密度的一个DEMO，有些文章中称其为循环平稳信号的组合切片(A demo of cyclic spectra density. it also can be called combinated splice on cyclostationary signal in some papers.)

pilot based ofdm signal