Does sample rate introduce an artifact in spectral analysis of continuous processes?
Publication year
2013Number of pages
13 p.
Source
Frontiers in Physiology, 3, (2013), article 495ISSN
Publication type
Article / Letter to editor
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Organization
SW OZ BSI OLO
SW OW PWO [owi]
Journal title
Frontiers in Physiology
Volume
vol. 3
Languages used
English (eng)
Subject
Learning and PlasticityAbstract
Spectral analysis is a widely used method to estimate 1/fα 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/fα noise become robust against sample rate conversion and more sensitive overall. Altogether, the present contribution may shed new light on known discrepancies in the psychological literature on 1/fα noise, and may provide a means to achieve a more solid framework for 1/fα noise in continuous processes.
This item appears in the following Collection(s)
- Academic publications [238441]
- Electronic publications [122537]
- Faculty of Social Sciences [29483]
- Open Access publications [97529]
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