Multi-objective operator for optimal compression and de-compression of random signals
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Date
2018
Authors
Soto Quiros, P.
Torokhti, A.
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Conference paper
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2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 - Proceedings, 2018, iss.8464195, pp.1-7
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2018 IEEE International Work Conference on Bioinspired Intelligence, IWOBI 2018 (18 Jul 2018 - 20 Jul 2018 : San Carlos, Costa Rica)
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.
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Copyright 2018 IEEE