Differential Evolution with Wavelet Mutation in Digital Finite Impulse Response Filter Design

Sangeeta Mondal, Sakti Prasad Ghoshal, Rajib Kar and Durbadal Mandal ()
Additional contact information
Sangeeta Mondal: NIT Durgapur
Sakti Prasad Ghoshal: NIT Durgapur
Rajib Kar: NIT Durgapur
Durbadal Mandal: NIT Durgapur

Journal of Optimization Theory and Applications, 2012, vol. 155, issue 1, No 17, 315-324

Abstract: Abstract This paper proposes one novel algorithm called differential evolution with wavelet mutation for the optimal design of linear phase finite impulse response filters. For comparative performance study, the Parks–McClellan algorithm and some evolutionary algorithms like the real coded genetic algorithm, conventional particle swarm optimization, and conventional differential evolution have also been applied.

Keywords: Finite impulse response filter; Differential evolution with wavelet mutation; Optimization; Signal processing (search for similar items in EconPapers)
Date: 2012
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s10957-012-0028-3 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:155:y:2012:i:1:d:10.1007_s10957-012-0028-3

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1007/s10957-012-0028-3

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().