Detection and characterization of marine mammal calls by parametric modelling
Mots-clés :
Algorithms, Computer simulation, Costs, Fish detectors, Frequencies, Mathematical models, Notch filters, Parameter estimation, Reliability, Signal systems, Signal to noise ratio, Time domain analysis, Waveform analysis, Adaptive notch filter (ANF), Marine mammals, Parametric modeling, Passive acoustic detectionRésumé
Le présent article décrit une méthode de modélisation paramétrique pour la détection et la caractérisation des vocalisations tonales de mammifères marins. La méthode consiste à poursuivre les fréquences dominantes à l’aide d’un filtre à encoche adaptatif (ANF), couplé à une étape de détection simultanée innovatrice. La statistique de détection est dérivée d’une mesure de la fiabilité de poursuite, un sous-produit de l’algorithme de poursuite. La détection entraîne un coût computationnel additionnel minime, et est à la fois rapide, simple, et capable de traiter des signaux multiples et à de bas rapports signal sur bruit. Les estimations de fréquence sont dérivées directement du domaine temporel et fréquentiel, évitant ainsi les compromis de résolution de la technique spectrogramme utilisée fréquemment. Dans une application sur un fichier d’une durée de 18-min de l’ensemble de donnée de l’atelier, il est possible de détecter quatre vocalisations probables de baleines franches.Fichiers supplémentaires
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