Detection of frequency-modulated calls using a chirp model

Auteurs-es

  • Justin Matthews Intl. Fund for Animal Welfare, 87-90 Albert Embankment, London, SEI 7UD, United Kingdom

Mots-clés :

Acoustic noise, Algorithms, Approximation theory, Costs, Data compression, Frequency modulation, Linear equations, Mathematical models, Parameter estimation, Polynomials, Problem solving, Signal detection, Cetacean volcalizations, Chirp Models, Computational costs, Frequency-Modulated Calls

Résumé

Plusieurs vocalisations de cétacés sont de type tonal et la plupart sont modulées en fréquence. L’algorithme de détection présenté ici sépare le contour de fréquence en une séquence d’éléments. Chacun des éléments est suffisamment petit pour qu’une approximation linéaire du contour de fréquence puisse être effectuée. Le problème est donc en ce sens simplifié de façon à ce que la détection d’un signal inconnu passe à celle d’un signal connu (une modulation linéaire de fréquence) avec des paramètres inconnus. La méthode d’estimation est basée sur le maximum de vraisemblance, et la fréquence de départ, le taux de modulation et l’amplitude de chacun des élements sont estimés. Des analyses plus poussées sont alors effectuées sur des groupes de modulations enchaînées (i.e. vocalisations) afin de classifier les sons comme étant du bruit ou comme faisant partis d’une espèce spécifique.

Fichiers supplémentaires

Publié-e

2004-06-01

Comment citer

1.
Matthews J. Detection of frequency-modulated calls using a chirp model. Canadian Acoustics [Internet]. 1 juin 2004 [cité 11 mai 2026];32(2):66-75. Disponible à: https://jcaa.caa-aca.ca/index.php/jcaa/article/view/1589

Numéro

Vol. 32 No. 2 (2004)

Rubrique

Actes du congrès de la Semaine canadienne d'acoustique

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