title: The myth of data acquisition rate.
abstract: With the need for high-frequency data acquisition, the influence of the data acquisition rate on the quality of the digitized signal is often discussed and also misinterpreted. In this study we show that undersampling of the signal, i.e. low data acquisition rate will not cause band broadening. Users of modern instrumentation and authors are frequently misled by hidden features of the data handling software they use. Very often users are unaware of the noise filtering algorithms that run parallel with data acquisition and that lack of information misleads them. We also demonstrate that undersampled signals can be restored by a proper trigonometric interpolation.
authors.affiliation: MTA-PTE Molecular Interactions in Separation Science Research Group, Ifjúság útja 6, H-7624 Pécs, Hungary; Department of Analytical and Environmental Chemistry and Szentágothai Research Center, University of Pécs, Ifjúság útja 6, H-7624 Pécs, Hungary. Electronic address: felinger@ttk.pte.hu.
authors.forename: Attila
authors.initials: A
authors.lastname: Felinger
authors.affiliation: MTA-PTE Molecular Interactions in Separation Science Research Group, Ifjúság útja 6, H-7624 Pécs, Hungary.
authors.forename: Anikó
authors.initials: A
authors.lastname: Kilár
authors.affiliation: Department of Analytical and Environmental Chemistry and Szentágothai Research Center, University of Pécs, Ifjúság útja 6, H-7624 Pécs, Hungary.
authors.forename: Borbála
authors.initials: B
authors.lastname: Boros
keywords: Data acquisition; Digitalization; Sampling; Trigonometric interpolation