germ

一本关于控制系统仿真的书的程序 1、文件夹1中的程序是书中的一些仿真。 2、文件2中的是最近做的预测控制、PID控制及逻辑控制的对比综合研究。 3、文件夹3中是与maltab通信的数据采集板的设计文件。包括串口设计、USB1.1及USB20设计。这是最新的设计资料，很有参考价值。 (About a control system simulation procedure one book, folders, one in the book are a number of procedural simulation. 2, document 2 are recent to do predictive control, PID control and logic control study Comparative General. 3, folder 3 are maltab communication with data acquisition board design document. Including the serial design, USB1.1 and USB20 Designed. This is the latest design information, useful reference value.)

摘要:计算机动态仿真是混沌应用研究的重要方法"该文介绍了环境下的可视化建模与动态仿真步骤(Abstract: The computer simulation is a chaotic dynamic applied research an important means of )

％ 用于模拟PN结中载流子的分布、电场和电势 ％ 总长为 L 的半导体截面上，左侧为 N 区，掺杂浓度 NA；右侧为 P 区，掺杂浓度为 ND ％ 假设截面积足够大( Used to simulate the PN junction carrier distribution, electric field and electric potential L total length of the semiconductor section, left for N areas, doping concentration NA the right for the P zone, doping concentration ND assumption for the cut-off an area large enough)

增量PID算法的MATLAB仿真,如果在单片机中使用需要编译和修改，属于简单的仿真程序(Incremental PID algorithm MATLAB simulation, if the use of single-chip microcomputer to compile and modify the need for belonging to a simple simulation program)

基于MATLAB语音线性预测分析报告及程序实现和语谱图实现。(linear prediction analysis and procedures to achieve and realize Spectrogram.)

说明：  该压缩包内为非线性格兰杰因果关系检验代码，欢迎大家下载(The compression package contains the non-linear Granger causality test code, welcome to download)

里面包含有几个非常好的基于粒子群优化的算法和基于matlab的源程序，对研究粒子群和优化的朋友很有帮助。(Which contains a few very good based on particle swarm optimization algorithm and matlab based on the source, the study of particle swarm optimization and helpful friends.)

支持向量机的相关程序：包括了支持向量机在图像处理中的多个用处(Support vector machine procedures: including support vector machines in a number of useful image processing)

说明：  HOG特征提取在进行SVM行人检测，经典算法(HOG feature extraction in SVM pedestrian detection, classical algorithm)

simulation for one-D FDTD(Basic standard FDTD code for learner)