uwb-ofdm

AFNI在Matlab下应用源码。用于在matlab环境下导入，修改，处理afni数据。(AFNI source code in Matlab applied. Matlab environment for the import, modify, afni treatment data.)

说明：  L-M优化算法（trainlm）和贝叶斯正则化算法（trainbr）(LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr))

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) )

说明：  matlab实现惯导数据的初步解算，能够得到位置、角度等的误差分析(Matlab realizes the initial solution of inertial navigation data)

彩色全电视信号产生，原理实验，适合初学者，是彩色电视原理电路的一部分(Gray signal generation, theory test, suitable for beginners)

熟悉非高斯色噪声的产生过程，并对其进行参数估计。 产生一高斯噪声，让其通过一线性系统，再得到符合需要的对数正态分布。 (Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution.)

图像网格的计算方法，包括快速算法，优于Normalized算法(Image grid computing, including fast algorithm, Normalized algorithm is superior)

利用singer模型实现对机动目标的跟踪(the maneuvering target tracking by using singer model)

algorithme genitique

自己写的回声对消算法rls,frls,nlms,apa的matlab仿真，还附有音频文件，和详细的文档说明，很详细，非常适合本科生做毕业设计。(A project on AEC, including rls, frlf, nlms and apa, is carefully writen and would be very helpful to undergraduate students.)