Pages that link to "Item:Q5235592"
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The following pages link to Data assimilation method to de-noise and de-filter particle image velocimetry data (Q5235592):
Displaying 11 items.
- A matching pursuit approach to solenoidal filtering of three-dimensional velocity measurements (Q348912) (← links)
- Inflow and initial conditions for direct numerical simulation based on adjoint data assimilation (Q401561) (← links)
- 4D large scale variational data assimilation of a turbulent flow with a dynamics error model (Q776712) (← links)
- Adjoint-based pressure determination from PIV data in compressible flows -- validation and assessment based on synthetic data (Q1671540) (← links)
- State observer data assimilation for RANS with time-averaged 3D-PIV data (Q2245224) (← links)
- A space–time integral minimisation method for the reconstruction of velocity fields from measured scalar fields (Q4685427) (← links)
- Linear and nonlinear sensor placement strategies for mean-flow reconstruction via data assimilation (Q4957372) (← links)
- Resolvent-based optimal estimation of transitional and turbulent flows (Q5115591) (← links)
- Stability estimate for scalar image velocimetry (Q6085040) (← links)
- Four-dimensional variational data assimilation of a turbulent jet for super-temporal-resolution reconstruction (Q6145701) (← links)
- Bayesian inverse Navier-Stokes problems: joint flow field reconstruction and parameter learning (Q6659678) (← links)
