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

Mohamed Elhoseny, Diego Oliva, Valentín Osuna-Enciso, Aboul Ella Hassanien, M. Gunasekaran

Research output: Contribution to journalArticle

2 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)5005-5022
Number of pages18
JournalMultimedia Tools and Applications
Volume79
Issue number7-8
DOIs
Publication statusPublished - 1 Feb 2020
Externally publishedYes

Keywords

  • Electro-magnetism optimization
  • Global optimization
  • Signal processing
  • Two dimensional digital filters

ASJC Scopus subject areas

  • Software
  • Media Technology
  • Hardware and Architecture
  • Computer Networks and Communications

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