id_iq

PSO PID 粒子群优化的最优控制器 用于交通流量控制 PSO PID 粒子群优化的最优控制器 用于交通流量控制(Particle Swarm Optimization PSO PID controller for optimal traffic flow control Particle Swarm Optimization PSO PID controller for optimal traffic flow control)

可调输入发送端编码，可调滤波器，gmsk信号调制解调过程(Adjustable input transmitter encoding, tunable filter, gmsk signal modulation and demodulation process)

pak msk gmsk的性能比较.功率谱以及误码率的比较，可以出图。(psk msk gmsk)

利用matlab进行信号采样（欠采样、过采样等）的源程序(Sampling the signal using matlab (less sampling, oversampling, etc.) of the source)

说明：  gyro matlab fire source file

该段程序是实现支持向量机的重要支撑，对于初学者来说有很大的帮助(This procedure is to realize the important support of support vector machine (SVM), is of great help for beginners )

这些录音由Thorsten Zander，柏林，和蔼可亲地提供；如果你使用这些录音的出版物，请引用： 赞德，T. O.，Kothe，C.，Jatzev，S.＆Gettne，M（2010）。增强人机交互与主动和被动脑机接口的输入。在大脑-计算机接口中（181-199页）。斯普林格伦敦。(These recordings were kindly provided by Thorsten Zander, TU Berlin; if you use these recordings for a publication, please cite: Zander, T. O., Kothe, C., Jatzev, S., & Gaertner, M. (2010). Enhancing human-computer interaction with input from active and passive brain-computer interfaces. In Brain-Computer Interfaces (pp. 181-199). Springer London.)

a practical malware analysis book

BGSA: binary gravitational search algorithm

Mathematical model of Induction generator