Hi, 1. The wikipedia pages of CFT and DFT refer to norm='ortho' as 'unitary'. Since we are in general working with complex numbers, I do suggest unitary over ortho. (https://en.wikipedia.org/wiki/Fourier_transform#Other_conventions) and ( https://en.wikipedia.org/wiki/Discrete_Fourier_transform#The_unitary_DFT)
2. I share Chris's concern about 'inverse', but I could not come up with a nice name. 3. Now that we are at this, should we also describe the corresponding continuum limit of FFT and iFFT in the documentation? A paragraph doing so could potentially also help people diagnose some of the normalization factor errors. I assumed it is common that one needs to translate a CFT into DFT when coding a paper up, and the correct compensation to the normalization factors will surface if one does the math. -- I had the impression 1 / N corresponds to 1 / 2pi if the variable is angular frequency, but it's been a while since I did that last time. - Yu On Fri, Jun 5, 2020 at 1:16 PM cvav <cv1...@wildcats.unh.edu> wrote: > Ross Barnowski wrote > > One potential issue that stood out to me was the name of the new keyword > > option. At face value, "inverse" seems like a poor choice given the > > established use of the term in Fourier analysis. For example, one might > > expect `norm="inverse"` to mean that scaling is applied to the ifft, when > > this is actually the current default. > > Yes that's true, the keyword argument name "inverse" is certainly something > I don't feel sure about. It'd be nice if everyone interested could suggest > names that make sense to them and what's their rationale behind them, so > that we pick something that's as self explanatory as possible. > > My thinking was to indicate that it's the opposite scaling to the default > option "None", so maybe something like "opposite" or "reversed" could be > other choices. Otherwise, we can find something that directly describes the > scaling and not its relationship to the default option. > > Chris > > > > -- > Sent from: http://numpy-discussion.10968.n7.nabble.com/ > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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