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Novel Double-Dispersion Models Based on Power-Law Filters

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Abstract

Novel double-dispersion models based on power-law filters are introduced in this work. These models are based on standard first-order and/or second-order low-pass filter transfer functions (denoted as mother functions) and do not require the employment of the fractional-order Laplacian operator. An attractive benefit, from the flexibility point of view, is that the number of parameters, which must be determined via optimization routines, depends on the selected combinations of mother filters. The validity of the proposed models is verified through fitting experimental bio-impedance data of fruit samples measured within a two-day period of time. The accuracy of the proposed models is compared with the classical double-dispersion Cole–Cole model for the same data.

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Authors and Affiliations

  1. Electronics Laboratory, Physics Department, University of Patras, Rio Patras, GR, 26504, Greece

    Stavroula Kapoulea & Costas Psychalinos

  2. Department of Electrical and Computer Engineering, University of Sharjah, P. O. Box 27272, Sharjah, United Arab Emirates

    Ahmed S. Elwakil

  3. Nanoelectronics Integrated Systems Center (NISC), Nile University, Giza, Egypt

    Ahmed S. Elwakil

  4. Department of Electrical and Computer Engineering, University of Calgary, Alberta, T2N 1N4, Canada

    Ahmed S. Elwakil & Abdulwadood Al-Ali

Authors
  1. Stavroula Kapoulea
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  2. Ahmed S. Elwakil
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  3. Costas Psychalinos
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  4. Abdulwadood Al-Ali
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Correspondence to Costas Psychalinos.

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This research is co-financed by Greece and the European Union (European Social Fund-ESF) through the Operational Programme “ Human Resources Development, Education and Lifelong Learning” in the context of the project “ Strengthening Human Resources Research Potential via Doctorate Research-2nd Cycle” (MIS-5000432), implemented by the State Scholarships Foundation (IKY).

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Kapoulea, S., Elwakil, A.S., Psychalinos, C. et al. Novel Double-Dispersion Models Based on Power-Law Filters. Circuits Syst Signal Process 40, 5799–5812 (2021). https://doi.org/10.1007/s00034-021-01755-0

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