基于元胞自动机的微观交通流建模仿真

说明：  用matlab编的ＢＰ程序，两种训练算法进行比较，对于学习ＢＰ网络的人很有益处(using Matlab part of BP procedures, two training algorithm, BP learning network of useful)

此程序主要是用Matlab模拟了鱼群算法寻优的过程，对算法寻优的应用有指导作用。(The procedure is used Matlab simulation of fish swarm algorithm optimization process, the application of the algorithm optimization of a guiding role.)

使用MATLAB的m语言编写的傅立叶变换，是针对电机的气隙磁密和磁矢位做快速离散傅立叶变化，可以分析各次谐波的含量(M using MATLAB language of the Fourier transform, fast discrete Fourier transform is done for the flux density and magnetic vector potential of the motor, you can analyze the content of each harmonic)

本程序的性能已经超过其他算法，hENcrDC参数可以得到很精确的幅值、频率、相位估计，给出接收信号眼图及系统仿真误码率，IMC-PID是利用内模控制原理来对PID参数进行计算，HsowisV条件线性调频脉冲压缩的Matlab程序,是国外的成品模型。( This program has exceeded the performance of other algorithms, hENcrDC parameter You can get a very accurate amplitude, frequency, phase estimation, The received signal is given eye and BER simulation systems, The IMC- PID is using the internal model control principle for PID parameters is calculated, HsowisV condition LFM pulse compression of the Matlab program, Foreign model is finished.)

probability principle component analysis, using matlab to reduce the dimenission of data.

This is book aboud Mobile Broadband Including WiMAX and LTE in English version

说明：  读取视频文件，读取一帧图像并检测图像中的汽车，使用循环逐帧对图像进行检测(read the videofrequency documents,then detect the cars in the picture,use the cycle to detect the picture.)

二维FDTD总场散场的一个MATLAB程序，(FDTD finish at a total field of a MATLAB program,)

为了克服用硬件电路实现混沌信号的困难，本文采用MATLAB/Simulink 软件对蔡氏电路进行仿真研究。实验结果 表明，蔡氏电路结构简单，具有极其丰富的动力学行为，提高了通信的安全(In order to overcome the chaotic signal with a hardware circuit difficulties, we use MATLAB/Simulink software simulation of Chua' s circuit. Experimental results show that the Chua' s circuit structure is simple, extremely rich in dynamics, to improve the security of communications)

三相电压源逆变器matlab仿真，有电压外环电流内环，最后用SVPWM形成的控制信号(Three-phase voltage source inverter matlab simulation, there is voltage outer loop current inner loop, and finally the control signal formed by SVPWM)