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Kalman and Particle Filtering

2008
The Kalman and particle filters are algorithms that recursively update an estimate of the state and find the innovations driving a stochastic process given a sequence of observations. The Kalman filter accomplishes this goal by linear projections, while the particle filter does so by a sequential Monte Carlo method.
openaire   +1 more source

Soot reactivity analysis and implications on diesel filter regeneration

Progress in Energy and Combustion Science, 2020
MagĂ­n Lapuerta
exaly  

Particle Filtering

IEEE Signal Processing Magazine, 2003
P.M. Djuric   +6 more
openaire   +1 more source

Particle filtering

2012
J. Durbin, S.J. Koopman
openaire   +1 more source

Glomerular barrier behaves as an atomically precise bandpass filter in a sub-nanometre regime

Nature Nanotechnology, 2017
Bujie Du, Xingya Jiang, Anindita Das
exaly  

Carbon nanotube filter functionalized with iron oxychloride for flow-through electro-Fenton

Applied Catalysis B: Environmental, 2020
Chensi Shen, Yanbiao Liu, Fang Li
exaly  

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