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20202026
most citedMaximum Likelihood Filtering for Particle Tracking in Turbulent Flows

1 citations · 1 across the 5 of their papers we have counts for

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math.OC2023

Optimization Based Data Enrichment Using Stochastic Dynamical System Models

Griffin M. Kearney, Makan Fardad

We develop a general framework for state estimation in systems modeled with noise-polluted continuous time dynamics and discrete time noisy measurements. Our approach is based on m…

physics.flu-dyn2023★ 1 cited

Maximum Likelihood Filtering for Particle Tracking in Turbulent Flows

Griffin M. Kearney, Kasey M. Laurent, Reece V. Kearney

Lagrangian Particle Tracking (LPT) enables practitioners to study various concepts in turbulence by measuring particle positions in flows of interest. This data is subject to measu…