wlan_11n_simulink

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) )

matlab codes for ofdm and radars

说明：  matlab环境下 实现的3类分类的KNN算法(KNN algorithm to classify three classes developed by matlab)

用于对路标进行提取和识别！对于实验环境下的路标识别效果比较好！(To sign for extraction and recognition. For the test environment road signs recognition effect is better! )

proE文件导入matlab之四(共五)-run_stl_read(import proe to matlab)

several numerical method code

压缩包里是matlab三个著名工具箱的一些教程，包括gaot，BSheffield大学gatbs工具箱，matlab自带的gads，还有工具箱的安装方法。(Three well-known compression bag is matlab toolbox tutorials, including gaot, BSheffield University gatbs toolbox, matlab built-gads, there Toolbox installation.)

SERPSK SERPAM SERQAM

说明：  image enhancement using neural network

压缩感知文献及相应的程序(Compressed sensing literature and the corresponding program)