Locally Optimal Inspired Detection in Snapping Shrimp Noise

In this paper, we address the problem of detecting a known signal in snapping shrimp noise. The latter dominates the ambient soundscape at medium-to-high frequencies in warm shallow waters. The noise process is impulsive, exhibits memory and is modeled effectively by stationary α-sub-Gaussian noise...

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Veröffentlicht in:	IEEE journal of oceanic engineering 2017-10, Vol.42 (4), p.1049-1062
Hauptverfasser:	Mahmood, Ahmed, Chitre, Mandar, Vishnu, Hari
Format:	Artikel
Sprache:	eng
Schlagworte:	Computational modeling Correlators impulsive noise Markov process Markov processes Mutual information Robustness Signal detection snapping shrimp noise Underwater acoustics αSGN(m)
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