BP_Simplex

混沌系统需要的各种仿真程序,希望对大家(特别是初学者)有用.(chaotic system needs of the simulation program, we hope that the right (especially beginners) useful.)

数字图像处理与机器视觉-visual C++与matlab实现,第9章配套源程序(Digital image processing and machine vision of-visual C++ and MATLAB, the 9th chapter matching source)

实现了CA-CFAR算法仿真，得到其检测门限及检测概率曲线。并使用基于蒙特卡洛仿真方法得到检测门限及检测概率曲线，与传统的CA-CFAR算法进行了比较。(CA-CFAR algorithm to achieve the simulation, its detection threshold and detection probability curve. And use the resulting Based on Monte Carlo simulation method detection threshold and detection probability curve, with the traditional CA-CFAR algorithm were compared.)

IMPEDANCE SOURCE INVERTER WITH FILTER TO REDUCE THE THD WITHIN THE STANDARDS

创建和编辑包 创建一个包需要指定： · 包的一个名字。 · 新包要求使用或链接的其他包的列表。 · 包编译时包含或绑定的单元文件的列表。包实质上是这些包含已编译.BPL功能的源代码单元的封装，包含（Contains）列表是想编译进包的定制组件的源代码单元放置的地方。一个包由C++源文件（.CPP）和扩展名为.BPK的工程选项文件定义。这些文件由包编辑器生成。 (Creating and editing package to create a package needs to be specified: a name of the package. The new package requires the use of or linked list of other packages. Compile a list of unit package that contains the file or binding. These packages contain essentially compiled. Source code package BPL unit functions, including (Contains) list is to source code modules compiled into the custom component package placed. A package of C++ source file (. CPP) and the extension. Engineering options file defines the BPK. These files are generated by the package editor.)

圆轴承油膜力计算程序，包含动态油膜力和静态油膜力，可用于转子动力学分析(Round bearing oil film force calculation program, including the dynamic oil film force and static oil film strength, can be used for rotor dynamics analysis)

说明：  经典的music算法，用matlab实现(music in matlab)

some diffrent codrsexzsvb

很好的一个三项全桥模型，自己编的，波形很好，大家下载看看(A good three full bridge model, oneself plait, waveform is very good, everyone to download to see )

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)