zhenchafa

It is Short Time Fourier Transform Codes, which can be used for ISAR Imaging

构建基于MATLAB-SIMLINK系统中XPC目标的实时仿真测试系统(Constructed based the XPC target the MATLAB-SIMLINK system real-time simulation test system)

function [CellSpace_nextstep VehicleSpace] = CountingNextStepVehicleState(CellSpace_current,CellSpace_nextstep,VehicleSpace,TakenMat, TakenCarIDMat,VMAX,signalFlag,UseLaneChangingModelFlag) 计算下一时刻的元胞空间状态 获取当前时刻元胞空间中的车辆信息， [VehicleInCellSpaceMat]=GetVehicleInCellSpace(CellSpace_current,TakenMat,TakenCarIDMat) if isempty(VehicleInCellSpaceMat) == 1 如果为空 return end 对每个车辆进行遍历， 获取每个车辆的数据，以及邻居车辆的数据 计算每个车辆的下一时刻状态并更新到下一时刻的元胞空间中 [CellSpace_nextstep VehicleSpace] = UpdataCellSpaceWithVehicleInfo(CellSpace_current,CellSpace_nextstep,VehicleSpace,VehicleInCellSpaceMat,VMAX,signalFlag,UseLaneChangingModel(function [CellSpace_nextstep VehicleSpace] = CountingNextStepVehicleState(CellSpace_current,CellSpace_nextstep,VehicleSpace,TakenMat, TakenCarIDMat,VMAX,signalFlag,UseLaneChangingModelFlag) 计算下一时刻的元胞空间状态 获取当前时刻元胞空间中的车辆信息， [VehicleInCellSpaceMat]=GetVehicleInCellSpace(CellSpace_current,TakenMat,TakenCarIDMat) if isempty(VehicleInCellSpaceMat) == 1 如果为空 return end 对每个车辆进行遍历， 获取每个车辆的数据，以及邻居车辆的数据 计算每个车辆的下一时刻状态并更新到下一时刻的元胞空间中 [CellSpace_nextstep VehicleSpace] = UpdataCellSpaceWithVehicleInfo(CellSpace_current,CellSpace_nextstep,VehicleSpace,VehicleInCellSpaceMat,VMAX,signalFlag,UseLaneChangingModelFlag) )

adptc the code for adptc its an exellent one

本程序描述的是如何用MATLAB语言来编写带通随机过程样本的产生(theproduceofband-passrandomprocesssample)

超声IUVS图像需要画边缘，手工画点，自动平滑(Need to draw the ultrasound IUVS image edge, hand-painted point, automatic smooth)

说明：  对rosenstein求解最大李雅普诺夫指数算法,实现成功(Rosenstein solving of the largest Lyapunov exponent algorithm, to achieve successful)

用C编写的地震资料楔形体模型，可以变换参数，简单通用(Written using C seismic data wedge model, may come and go parameters, simple and universal)

光通信中3*3耦合器相位解调的仿真，包括对称解调与非对称解调两种。(Optical Communication 3* 3 coupler phase demodulation of the simulation, including demodulation and demodulation of two symmetric asymmetric.)

基于matlab的信噪比差错估计 m=4双极性(Matlab error signal to noise ratio is estimated based on m = 4 bipolar)