Constrained random search for IIR adaptive and non-linear filters

S. Pal, W. K. Jenkins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A constrained random search algorithm is introduced to perform system identification for both linear and nonlinear unknown systems. This proposed method is a population based algorithm involving a structured yet randomised information exchange resulting in survival of fittest among the population. It has capabilities of reaching the global solution. It is demonstrated that the proposed algorithm works well on multimodal error surfaces that are characteristic of linear IIR and general nonlinear adaptive filters.

Original languageEnglish (US)
Title of host publication2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005
Pages899-902
Number of pages4
Volume2005
DOIs
StatePublished - Dec 1 2005
Event2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005 - Cincinnati, OH, United States
Duration: Aug 7 2005Aug 10 2005

Other

Other2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005
CountryUnited States
CityCincinnati, OH
Period8/7/058/10/05

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

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    Pal, S., & Jenkins, W. K. (2005). Constrained random search for IIR adaptive and non-linear filters. In 2005 IEEE International 48th Midwest Symposium on Circuits and Systems, MWSCAS 2005 (Vol. 2005, pp. 899-902). [1594247] https://doi.org/10.1109/MWSCAS.2005.1594247