Adaptive Filtering to Enhance Noise Immunity of Impedance and Admittance Spectroscopy: Comparison with Fourier Transformation
| Autor: | Sergei V. Koniakhin, Michael Dubina, Daniil D. Stupin, Nikolay A. Verlov |
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| Rok vydání: | 2017 |
| Předmět: |
Physics
Noise reduction Mathematical analysis FOS: Physical sciences General Physics and Astronomy Context (language use) 02 engineering and technology Sense (electronics) Physics::Classical Physics 021001 nanoscience & nanotechnology 01 natural sciences Imaging phantom Adaptive filter symbols.namesake Fourier transform Physics - Data Analysis Statistics and Probability 0103 physical sciences symbols 010306 general physics 0210 nano-technology Electrical impedance Data Analysis Statistics and Probability (physics.data-an) Excitation |
| Zdroj: | Physical Review Applied. 7 |
| ISSN: | 2331-7019 |
| DOI: | 10.1103/physrevapplied.7.054024 |
| Popis: | 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. 5 figures, 10 equations, 1 table. In this version the bio-application example was added |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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