My question has two parts: One is general and has to do with the Fourier-Transformation, one has to do with Time-Domain NMR. Both parts are interlinked, of course.
I tried to find out, why people do Time-Domain (TD) NMR instead of Fourier-Transform (FT) NMR, which is up to my knowledge by far the standard.
Part 1 on TD-NMR
On my search on TD-NMR, I found a vendor that states on his website
...low magnetic field results in a low resolution, which is insufficient for obtaining Fourier-transformation frequency spectra.
Certainly, for Fourier-approaches, there has to be a certain number of sample points available to get good spectra. On the other hand, fitting the signal in time-domain with few data points is equally problematic. So, why is it done and is TD-NMR done with some kind of special fitting approach?
Part 2, general
The vendor stated that TD-NMR uses low magnetic fields, which also translates to a low signal-to-noise ratio. Is there a reason why signal processing should be done in TD only because of an SNR issue? I imagine, since the FT is a linear transformation, there should be no gain or loss in terms of SNR, right? Hence, it should not impede the choice of the domain that you would like to work in.