A method for multimodal optimization with application to signal processing

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper presents a novel algorithm for the solution of Multimodal Optimization problems. The proposed method is hybrid of Nelder Mead algorithm and gradient method. The algorithm has direct application to problems encountered in the area of signal processing. The proposed method is applied for the estimation of taps in the design of adaptive filters. The convergence of the proposed algorithm is compared with the convergence trajectories of Steepest Descent method and found to be superior. The algorithm is presented for second order optimization problem and was applied for the design of three tap Wiener filter.

Original languageEnglish
Title of host publicationProceedings of 2018 15th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages357-364
Number of pages8
ISBN (Electronic)9781538635643
DOIs
StatePublished - 9 Mar 2018
Externally publishedYes
Event15th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2018 - Islamabad, Pakistan
Duration: 9 Jan 201813 Jan 2018

Publication series

NameProceedings of 2018 15th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2018
Volume2018-January

Conference

Conference15th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2018
Country/TerritoryPakistan
CityIslamabad
Period9/01/1813/01/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Evolutionary Method
  • Multimodal optimization
  • Nelder-Mead
  • Wiener Filter

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanics of Materials
  • Ceramics and Composites
  • Electronic, Optical and Magnetic Materials
  • Metals and Alloys
  • Polymers and Plastics

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