@inproceedings{86c5f3706a164a77ba0eee7939418474,
title = "Classification of whale vocalizations using the Weyl transform",
abstract = "In this paper, we apply the Weyl transform to represent the vocalization of marine mammals. In contrast to other popular representation methods, such as the MFCC and the Chirplet transform, the Weyl transform captures the global information of signals. This is especially useful when the signal has low order polynomial phase. We can reconstruct the signal from the coefficients obtained from the Weyl transform, and perform classification based on these coefficients. Experimental results show that classification using features extracted from the Weyl transform outperforms the MFCC and the Chirplet transform on our collected whales data.",
keywords = "whale classification, polynomial phase, parameter estimation, Weyl transform",
author = "Yin Xian and Andrew Thompson and Qiang Qiu and Loren Nolte and Douglas Nowacek and Jianfeng Lu and Robert Calderbank",
year = "2015",
month = apr,
day = "19",
doi = "10.1109/icassp.2015.7178074",
language = "English",
series = "International Conference on Acoustics, Speech, and Signal Processing (ICASSP)",
publisher = "IEEE",
pages = "773--777",
booktitle = "2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)",
address = "United States",
}