https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32426 N². The Distributed Kalman Filter (DKF) proposed by Massioni et al [1] when being performed in the Fourier Domain allows the computational cost to scale as N log N [2], provided that the state space model is shift-invariant in its basis. In this paper we develop a procedure for the modeling and identification of a dynamic shift-invariant turbulence model that does not require prior knowledge of the layers velocities and turbulence profile, while satisfying the structural requirements of the DKF.]]> Tue 05 Jun 2018 11:42:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:32425 Tue 05 Jun 2018 11:35:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43878 Tue 04 Oct 2022 13:03:25 AEDT ]]>