does sample rate introduce an artifact in spectral analysis of continuous processes?

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ID: 236120
2013
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Abstract
Spectral analysis is a widely used method to estimate 1/f α noise in behavioral and physiological data series. The aim of this paper is to achieve a more solid appreciation for the effects of periodic sampling on the outcomes of spectral analysis. It is shown that spectral analysis is biased by the choice of sample rate because denser sampling comes with lower amplitude fluctuations at the highest frequencies. Here we introduce an analytical strategy that compensates for this effect by focusing on a fixed amount, rather than a fixed percentage of the lowest frequencies in a power spectrum. Using this strategy, estimates of the degree of 1/f α noise become robust against sample rate conversion and more sensitive overall. Altogether, the present contribution may shed new light on known discrepancies in the literature on 1/f α noise, and may provide a means to achieve a more solid framework for 1/f α noise in continuous processes.
Reference Key
ewijnants2013frontiersdoes Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Maarten eWijnants;Ralf eCox;Fred eHasselman;Anna eBosman;Guy eVan Orden
Journal Journal of clinical and experimental dentistry
Year 2013
DOI
10.3389/fphys.2012.00495
URL
http://journal.frontiersin.org/Journal/10.3389/fphys.2012.00495/full
Keywords
1/f noise scaling estimatesphysiology

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