Transform data to Lagrangian frame of reference (and back) for filtering, efficiently!
- Seed domain with particles, in time and space
- Advect particles forward and backward in time to cover the full integration period
- Collect properties of interest along particle paths
- Convert each particle path to frequency domain and filter
- Invert Fourier transform back to temporal domain
- Interpolate back onto the original grid
To install as a development package
julia> import Pkg
julia> Pkg.develop("https://github.com/angus-g/LagrangeFilter.jl.git")