CDEX uses Fast Fourier transforms, which have been described as the most important numerical algorithm[s] of our lifetime.
complex-data FFTs are so closely related to algorithms for related problems such as real-data FFTs, discrete cosine transforms, discrete Hartley transforms, and so on, that any improvement in one of these would immediately lead to improvements in the others (Duhamel & Vetterli, 1990).
The properties tell us how the Fourier transform changes when the original signal undergoes certain changes. They are generally derived by going back to the definitions and manipulating the equations appropriately.
(this document also helped me get a very rough layman's guess/understanding of time domain vs frequency domain) .....Fourier transform as a mapping from input signals (the time-domain representation) to output signals (the frequency domain representation)
My best guess is this is all about increased speed in getting the output signals. Just a guess. I think the portion of this I find most interesting, CDEX using the three optical processes TOGETHER/simultaneously, is shown in figure 6 at a high level. Still very unique from what I have compared elsewhere.
CDEX figures are helpful in seeing procedural sequence CDEX figure 3 = Fast Fourier transforms figure 6 depicts determination of Raman energy, determination of fluorescent energy, and determination of spectral reflected energy
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