The myth of data acquisition rate

A. Felinger, Anikó Kilár, Borbála Boros

Research output: Contribution to journalArticle

12 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)178-182
Number of pages5
JournalAnalytica Chimica Acta
Volume854
DOIs
Publication statusPublished - Jan 7 2015

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data acquisition
Noise
Data acquisition
Software
Data handling
instrumentation
interpolation
Interpolation
software
rate
myth

Keywords

  • Data acquisition
  • Digitalization
  • Sampling
  • Trigonometric interpolation

ASJC Scopus subject areas

  • Biochemistry
  • Analytical Chemistry
  • Spectroscopy
  • Environmental Chemistry

Cite this

The myth of data acquisition rate. / Felinger, A.; Kilár, Anikó; Boros, Borbála.

In: Analytica Chimica Acta, Vol. 854, 07.01.2015, p. 178-182.

Research output: Contribution to journalArticle

Felinger, A. ; Kilár, Anikó ; Boros, Borbála. / The myth of data acquisition rate. In: Analytica Chimica Acta. 2015 ; Vol. 854. pp. 178-182.
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