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Parameter identification of two dimensional digital filters using electro-magnetism optimization

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Abstract

The design of Two-Dimensional Infinite Input Response Filters (2D IIR) is an important task in the field of signal processing. These filters are widely used in several areas of engineering as an important tool to eliminate undesired frequencies in high-noised signals. However, 2D IIR filters have parameters that need to be calibrated in order to obtain the best output, and finding these optimal values is not an easy task. On the other hand, Electro-magnetism Optimization (EMO) is a population-based technique which possess interesting convergence properties, it works following the electro-magnetism principles for solving complex optimization problems. This paper introduces an algorithm for the automatic parameter identification of 2D IIR filters using EMO, a process that is regarded as a multidimensional optimization problem. Experimental results are included to validate the efficiency of the proposed technique regarding accuracy, speed, and robustness.

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Authors and Affiliations

  1. Faculty of Computer and Information, Mansoura University, Mansoura, Egypt

    Mohamed Elhoseny

  2. Universidad de Guadalajara, CUCEI, Av. Revolucion 1500, Guadalajara, Jalisco, Mexico

    Diego Oliva

  3. Universidad de Guadalajara, Av. Nuevo Periférico No. 555, Tonalá, Jalisco, Mexico

    Valentín Osuna-Enciso

  4. Faculty of Computer and Information, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  5. VIT University, Vellore, India

    M. Gunasekaran

Authors
  1. Mohamed Elhoseny
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  2. Diego Oliva
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  3. Valentín Osuna-Enciso
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  4. Aboul Ella Hassanien
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  5. M. Gunasekaran
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Correspondence to Mohamed Elhoseny.

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Elhoseny, M., Oliva, D., Osuna-Enciso, V. et al. Parameter identification of two dimensional digital filters using electro-magnetism optimization. Multimed Tools Appl 79, 5005–5022 (2020). https://doi.org/10.1007/s11042-018-6095-1

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  • DOI: https://doi.org/10.1007/s11042-018-6095-1

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