This paper points out the importance of anti-aliasing filtering in the anal
og-to-digital conversion performed in electrochemical noise (EN) measuremen
ts. This operation is currently implemented in spectrum analyzers, but it i
s generally ignored in data acquisition systems based on acquisition cards
in personal computers or on digital voltmeters. It is shown that without fi
ltering, aliasing occurs and lends to fallacious amplitudes of the EN, that
is, too-high standard deviations in the time domain and too-high power spe
ctral density levels in the frequency domain. In particular the white noise
s, which are commonly encountered in localized corrosion at low sampling ra
tes, always have a wrong amplitude when measured without filtering. Anti-al
iasing filtering may be carried out with analog filters or a combination of
analog and digital filters. A comparison of two different digital filters,
which are easily implementable in personal computers, shows that the slope
of the filter roll-off has to be high enough to avoid aliasing for all typ
es of EN and to obtain a good overlapping of the power spectral densities m
easured at various sampling rates. (C) 2000 The Electrochemical Society. S0
013-4651(99)02-094-7. All rights reserved.