Blue whale calls classification using short-time Fourier and wavelet packet transforms and artificial neural network

Author:

Bahoura Mohammed,Simard Yvan

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference21 articles.

1. Biogeographic characterisation of blue whale song worldwide: Using song to identify populations;McDonald;J. Cetacean Res. Manage.,2006

2. Blue and fin whale call source levels and propagation range in the southern ocean;Sirovic;J. Acoust. Soc. Am.,2007

3. Seasonality and distribution of whale calls in the north pacific;Watkins;Oceanography,2000

4. Recognizing transient low-frequency whale sounds by spectrogram correlation;Mellinger;J. Acoust. Soc. Am.,2000

5. X. Mouy, Détection et identification automatique en temps-réel des vocalises de rorqual bleu (Balaenoptera musculus) et de rorqual commun (Balaenoptera physalus) dans le Saint-Laurent, Master's thesis, Université du Québec à Rimouski, Rimouski, Qc, Canada, 2007

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