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基于卡尔曼滤波的交通流预测 带数据
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%卡尔曼滤波原理 %x=Ax+Bu+w meaningthestatevectorxevolvesduringonetime %         stepbypremultiplyingbythe"statetransition %         matrix"A.Thereisoptionally(ifnonzero)aninput %         vectoruwhichaffectsthestatelinearly,andthis %         lineareffectonthestateisrepresentedby %         premultiplyingbythe"inputmatrix"B.Thereisalso %         gaussianprocessnoisew. %z=Hx+v    meaningtheobservationvectorzisalinearfunction %         of
microfihser
2020-06-04
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