Abstract
Improved fast Fourier transform (FFT) spectra are obtained by multiplying a temporal or spatial series by twice the reciprocal length of useful, windowed data. This scaling provides spectral amplitudes that compare with average amplitudes in the original data. The inverse-transform scale is the reciprocal of the forward scaling divided by the FFT length. True-amplitude processing is convenient particularly when evaluating sparse data consisting of few traces and waveform types that are to be filtered or compensated for amplitude attenuations.
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