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

Pablo Soto-Quiros, Anatoli Torokhti

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

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.

Idioma originalInglés
Título de la publicación alojada2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión impresa)9781538675069
DOI
EstadoPublicada - 12 sept 2018
Evento2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - San Carlos, Costa Rica
Duración: 18 jul 201820 jul 2018

Serie de la publicación

Nombre2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings

Conferencia

Conferencia2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018
País/TerritorioCosta Rica
CiudadSan Carlos
Período18/07/1820/07/18

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