Lab

自写曲率计算函数 ,包含光伏电池模块、MPPT模块、BOOST模块、逆变模块，Pisarenko谐波分解算法。( Since writing the curvature calculation function, PV modules contain, MPPT module, BOOST module, inverter module, Pisarenko harmonic decomposition algorithm.)

comsol 关于光子晶体光纤的程序 仅供大家参考(comsol on photonic crystal fiber program for your reference)

1d phc band structure with PWE method

results than conventional LBP based schemes.Several observations can be made for CLBP. First, LBP is aspecial case of CLBP by using only CLBP_S. Second, we willshow that the sign component preserves more image localstructural information than the magnitude component. Thisexplains why the simple LBP (i.e. CLBP_S) operator worksmuch better than CLBP_M for texture classification. Third, theproposed CLBP_S, CLBP_M and CLBP_C code maps have

说明：  轧钢神经网络的MATLAB实现程序，自认为还可以(MATLAB)

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) )

基于模糊滑模控制，对于初学者的有着很大帮助(fuzzy sliding control。Great help for beginners)

采用c++调用matlab写的一个sift算法，其中调用matlab只是使用其中几个函数。可以很准确的检测出sift特征点。(Using c++ to call a matlab write sift algorithm, which used to call only a few matlab function. Can accurately detect the feature points sift.)

说明：  matlab 开发用到的各种实例 非常实用 分享(matlab developed a variety of examples used)

用遗传算法求解函数最优问题，注释详细，过程详细，值得参考和学习，稍微修改能用于解答其他问题！(Function using genetic algorithm optimization problem, detailed notes, the process in detail, it is worth reference and learning, a slight modification can be used to answer other questions!)