  A theoretical analysis, aimed at characterizing the degradation induced by
the resampling and requantization processes applied to band-limited Gaussian
signals with flat power spectrum, available through their digitized samples, is
presented. The analysis provides an efficient algorithm for computing the
complete {joint} bivariate discrete probability distribution associated to the
true quantized version of the Gaussian signal and to the quantity estimated
after resampling and requantization of the input digitized sequence. The use of
Fourier transform techniques allows deriving {approximate} analytical
expressions for the quantities of interest, as well as implementing their
efficient computation. Numerical experiments are found to be in good agreement
with the theoretical results, and confirm the validity of the whole approach.
