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# FFTA: Fastest Fourier Transform in my Apartment
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## A library by Danny Sharp
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This is a *pure Julia* implementation of FFTs, with the goal that this could supplant other FFTs for applications that require odd Julia objects. Currently this supports `AbstractArray{T,N}` where `N` in `{1,2}` (i.e. `AbstractVector` and `AbstractMatrix`). If you're looking for more performance, checkout `FFTW.jl`. Regardless of `T`, `one(::Type{T})` must be defined. Additionally, if `T<:Complex`, then `convert(::Type{T},ComplexF64)` has to be defined and if `T<:Real`, then `convert(::Type{T}, Float64)` has to be defined.
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