chase_robots

DS-CDMA中匹配滤波器误码率分析，只是一直为零，感觉没有错阿。(DS-CDMA matched filter error rate analysis, but the zero, A feeling nothing wrong.)

Introduction Kalman filter D.Alazard

雷达系统导论,第三版 美国 斯科尔尼克 第三版 完整版(Introduction to radar systems, the third edition of the American Skolnick v3 full version)

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图像处理中常用的canny码源(This is canny code)

de boor 算法在turbo C2.0开发环境下的程序代码(de boor algorithm development environment in the turbo C2.0 program code)

MATLAB实现振动信号时域处理：频域低通和带通滤波，频域高通和带阻滤波(MATLAB implementation time domain vibration signal processing: frequency-domain low-pass and band-pass filtering, frequency domain high pass and band-stop filter)

用matlab实现（7,4）汉明码的编码和解码(failed to translate)

MATLAB中文实用手册，MATLAB中文帮助。(Chinese Practical Handbook MATLAB, MATLAB Chinese help.)

Image Compression by: 1) Use Adobe Photoshop to Compress images using LZW algorithm (i.e. lossless technique). 2) Use MATLAB to Compress images using JPEG algorithm (i.e. lossy technique) and Assess objectively the quality of the compressed images