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Multi-Objective Operator for Optimal Compression and De-compression of Random Signals

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

Abstract

New multi-objective operators of random signals are presented in this paper. The new operators improve, under a unrestrictive condition, the performance of known techniques: the generalized Karhunen-Loéve transform, the transform considered by Brillinger and the generalized Brillinger-like transform. This is obtained by particular design of new operators which have more parameters to optimize than that of other operators described in literature.

Original languageEnglish
Title of host publication2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538675069
DOIs
StatePublished - 12 Sep 2018
Event2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - San Carlos, Costa Rica
Duration: 18 Jul 201820 Jul 2018

Publication series

Name2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings

Conference

Conference2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018
Country/TerritoryCosta Rica
CitySan Carlos
Period18/07/1820/07/18

Keywords

  • Filtering
  • Random signals
  • Signal compression

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