motorbas

说明：  Dsp中的Matlab ， AFD_BUTT.M AFD_CHB1.M AFD_CHB2.M(Dsp of Matlab, AFD_BUTT.M AFD_CHB1.M AFD_CHB2.M)

matlab编程必备手册，这本书是matlab的一个非常全面而且细致的教程，希望大家好好利用哦(matlab programming required manual matlab this book is a very comprehensive and detailed tutorial, I hope you make good use of O)

说明：  遗传算法求解优化问题的一个程序，学习matlab时可以参考一下(Genetic Algorithm Optimization of a process)

Matlab - Graphics and GUIs with Matlab, 3rd Edition

建立了整车的6自由度模型，包括轮胎模型、车身模型、垂向力模型等(The 6DOF model of vehicle)

说明：  这里包含了Matlab实现的多种插值算法，有拉格朗日插值、艾特肯插值、均差形式的牛顿插值、埃尔米特插值、分段三次埃尔米特插值、二次样条插值(There are many interpolation algorithms implemented by MATLAB, including Lagrange interpolation, Aitken interpolation, Newton interpolation in the form of average deviation, Hermite interpolation, piecewise cubic Hermite interpolation and quadratic spline interpolation)

说明：  本设计为基于MATLAB特征点匹配的指纹识别系统。带有一个GUI界面。主要对指纹图像进行三方面处理：图像预处理、特征提取和特征匹配。图像预处理包括四个步骤：图像分割、滤波增强、二值化、细化，对指纹图像进行预处理后，去除了原图像的冗余部分，方便后续的识别处理；特征提取主要是提取指纹图像细化后的端点和分叉点；特征匹配是利用两个指纹的图像进行特征点比较，来确定两幅图像是否来自于同一手指。(This design is a fingerprint recognition system based on MATLAB feature point matching. With a GUI interface. Fingerprint image is mainly processed in three aspects: image preprocessing, feature extraction and feature matching. Image preprocessing includes four steps: image segmentation, filter enhancement, binarization and thinning. After preprocessing the fingerprint image, the redundant part of the original image is removed to facilitate the subsequent identification processing; feature extraction is mainly to extract the refined endpoint and bifurcation point of fingerprint image; feature matching is to determine the two images by comparing the feature points of two fingerprint images Is it from the same finger.)

matlab 的指令大集合，需要的时候可以(matlab command large collection, when necessary, can be)

matlab写的实现不同信号之间采样，卷积，重构等。里面有一个.exe是用matlab写的界面，可以打开看到效果。(matlab written between the different signals sampling, convolution and reconstruction. There is one. Exe matlab write interface, you can open to see the effect.)

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)