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Design and Implementation of an Optimized Artificial Human Eardrum Model

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Abstract

This paper introduces a fractional-order eardrum Type-II model, which is derived using fractional calculus to reduce the number of elements compared to its integer-order counterpart. The proposed fractional-order model parameters are extracted and compared using five meta-heuristic optimization techniques. The CMOS implementation of the model is performed using the Design Kit of the Austria Mikro Systeme (AMS) 0.35 \(\upmu {\hbox {m}}\) CMOS process, while the simulations have been performed using the Cadence IC design suite.

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Authors and Affiliations

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

    Panagiotis Bertsias & Costas Psychalinos

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

    Menna Mohsen, Lobna A. Said & Ahmed S. Elwakil

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

    Ahmed S. Elwakil

  4. Department of Electrical and Computer Engineering, University of Calgary, Calgary, AB, Canada

    Ahmed S. Elwakil

  5. Engineering Mathematics and Physics Department, Cairo University, Giza, Egypt

    Ahmed G. Radwan

  6. School of Engineering and Applied Sciences, Nile University, Sheikh Zayed City, Egypt

    Ahmed G. Radwan

Authors
  1. Panagiotis Bertsias
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  2. Menna Mohsen
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  3. Lobna A. Said
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  4. Ahmed S. Elwakil
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  5. Costas Psychalinos
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  6. Ahmed G. Radwan
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Correspondence to Lobna A. Said.

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This work is supported by the General Secretariat for Research and Technology (GSRT) and the Hellenic Foundation for Research and Innovation (HFRI). This article is based upon work from COST Action CA15225, a network supported by COST (European Cooperation in Science and Technology).

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Bertsias, P., Mohsen, M., Said, L.A. et al. Design and Implementation of an Optimized Artificial Human Eardrum Model. Circuits Syst Signal Process 39, 3219–3233 (2020). https://doi.org/10.1007/s00034-019-01308-6

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  • DOI: https://doi.org/10.1007/s00034-019-01308-6

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