Definition
Digital filtering is the process of transforming a discretely sampled input signal into an output signal, such that certain spectral characteristics of the input signal are lost, while others are retained. In neuroscience, it is performed on time series that represent electrophysiological or hemodynamic signals measured over time. Whereas analog filters are applied online and implemented as electronic circuits, digital filters are applied off-line and implemented in software.
Detailed Description
Introduction
A digital filter is an important signal processing tool for the analysis of neuroscientific data. It is used to increase sensitivity to aspects of the signals that are of interest while suppressing noise. For the purpose of simplicity, we will focus on electrophysiological time series, e.g., temporal fluctuations of the electric potential measured at the scalp (for an extensive treatment of digital filters see Smith, 2003). Yet, a digital filter can be applied to any...
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Smith SW (2003) Digital signal processing: a practical guide for engineers and scientists. California Technical Publishing, San Diego
Further Reading
Mitra S (2010) Digital signal processing. McGraw-Hill Science/Engineering/Math, New York, NY
Nitschke JB, Miller GA, Cook EW (1998) Digital filtering in EEG/ERP analysis: some technical and empirical comparisons. Behav Res Methods Instrum Comput 30(1):54–67
Percival DB, Walden AT (1993) Spectral Analysis for Physical Applications. Cambridge University Press, Cambridge
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer Science+Business Media New York
About this entry
Cite this entry
van der Meij, R., Schoffelen, JM. (2015). Digital Filtering. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6675-8_413
Download citation
DOI: https://doi.org/10.1007/978-1-4614-6675-8_413
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-6674-1
Online ISBN: 978-1-4614-6675-8
eBook Packages: Biomedical and Life SciencesReference Module Biomedical and Life Sciences