Absorption of echo signal for underwater acoustic signal target system using hybrid of ensemble empirical mode with machine learning techniques

Abstract Underwater acoustic sensor signal processing relies on sound absorption of underwater acoustic energy. Echo absorption of underwater acoustic waves is a challenging area because of the complexity of a marine ecosystem and the uniqueness of an underwater acoustic route. We developed Improved...
Ausführliche Beschreibung

Gespeichert in:
Autor*in:

Ashok, P. [verfasserIn]

Latha, B.

Format:

E-Artikel

Sprache:

Englisch

Erschienen:

2023

Schlagwörter:

Underwater

Acoustic Sensor signal

Echo Removal

Ensemble Sensor signals

Empirical Mode Decomposition

Optimization

Anmerkung:

© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:

Enthalten in: Multimedia tools and applications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995, 82(2023), 30 vom: 09. Mai, Seite 47291-47311

Übergeordnetes Werk:

volume:82 ; year:2023 ; number:30 ; day:09 ; month:05 ; pages:47291-47311

Links:

Volltext

DOI / URN:

10.1007/s11042-023-15543-2

Katalog-ID:

SPR053906284

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