The previous post mentioned that the fourier transform produces complex data - a set of "real" data points and a set of "imaginary" data points. Both datasets are equally legitimate - real and imaginary are simply labels to distinguish the two orthogonal datasets. Two datasets 90o out of phase with each other are collected to enable quadrature detection, the discrimination of positive and negative frequencies.
