Physical Review Applied, volume 7, issue 5, publication number 054024
Adaptive Filtering to Enhance Noise Immunity of Impedance and Admittance Spectroscopy: Comparison with Fourier Transformation
Publication type: Journal Article
Publication date: 2017-05-30
Journal:
Physical Review Applied
Quartile SCImago
Q1
Quartile WOS
Q2
Impact factor: 4.6
ISSN: 23317019
General Physics and Astronomy
Abstract
The time-domain technique for impedance spectroscopy consists of computing the excitation voltage and current response Fourier images by fast or discrete Fourier transformation and calculating their relation. Here we propose an alternative method for excitation voltage and current response processing for deriving a system impedance spectrum based on a fast and flexible adaptive filtering method. We show the equivalence between the problem of adaptive filter learning and deriving the system impedance spectrum. To be specific, we express the impedance via the adaptive filter weight coefficients. The noise-canceling property of adaptive filtering is also justified. Using the RLC circuit as a model system, we experimentally show that adaptive filtering yields correct admittance spectra and elements ratings in the high-noise conditions when the Fourier-transform technique fails. Providing the additional sensitivity of impedance spectroscopy, adaptive filtering can be applied to otherwise impossible-to-interpret time-domain impedance data. The advantages of adaptive filtering are justified with practical living-cell impedance measurements.
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1 publication, 5.26%
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1 publication, 5.26%
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Citations by publishers
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4
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4 publications, 21.05%
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2 publications, 10.53%
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2 publications, 10.53%
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Springer Nature
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2 publications, 10.53%
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2 publications, 10.53%
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Pleiades Publishing
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2 publications, 10.53%
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SAGE
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SAGE
1 publication, 5.26%
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Elsevier
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1 publication, 5.26%
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IEEE
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IEEE
1 publication, 5.26%
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Stupin D. et al. Adaptive Filtering to Enhance Noise Immunity of Impedance and Admittance Spectroscopy: Comparison with Fourier Transformation // Physical Review Applied. 2017. Vol. 7. No. 5. 054024
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Stupin D., Koniakhin S. V., Verlov N. A., Dubina M. Adaptive Filtering to Enhance Noise Immunity of Impedance and Admittance Spectroscopy: Comparison with Fourier Transformation // Physical Review Applied. 2017. Vol. 7. No. 5. 054024
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TY - JOUR
DO - 10.1103/PhysRevApplied.7.054024
UR - https://doi.org/10.1103%2FPhysRevApplied.7.054024
TI - Adaptive Filtering to Enhance Noise Immunity of Impedance and Admittance Spectroscopy: Comparison with Fourier Transformation
T2 - Physical Review Applied
AU - Stupin, D. D.
AU - Koniakhin, S. V.
AU - Verlov, Nikolay A.
AU - Dubina, Michael
PY - 2017
DA - 2017/05/30 00:00:00
PB - American Physical Society (APS)
IS - 5
VL - 7
SN - 2331-7019
ER -
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@article{2017_Stupin,
author = {D. D. Stupin and S. V. Koniakhin and Nikolay A. Verlov and Michael Dubina},
title = {Adaptive Filtering to Enhance Noise Immunity of Impedance and Admittance Spectroscopy: Comparison with Fourier Transformation},
journal = {Physical Review Applied},
year = {2017},
volume = {7},
publisher = {American Physical Society (APS)},
month = {may},
url = {https://doi.org/10.1103%2FPhysRevApplied.7.054024},
number = {5},
doi = {10.1103/PhysRevApplied.7.054024}
}
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