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The performance of methods based on the fractional Fourier transform for detecting marine mammal vocalizations

The performance of methods based on the fractional Fourier transform for detecting marine mammal vocalizations
The performance of methods based on the fractional Fourier transform for detecting marine mammal vocalizations
The analysis of cetacean vocalizations is considered using Fourier-based techniques that employ
chirp functions in their decomposition. In particular, the paper considers a short-time methods
based on the fractional Fourier transform for detecting frequency modulated narrow-band signals,
such as dolphin whistles, and compares this to the classical short-time Fourier methods. The fractional
Fourier technique explored computes transforms associated with a range of chirp rates and
automatically selects the rate for the final analysis. This avoids the need for prior knowledge of signal’s
chirp rate. An analysis is presented that details the performance of both methods as signal
detectors and allows one to determine their detection thresholds. These thresholds are then used to
measure the detectability of synthetic signals. This principle is then extended to measure performance
on a set of recordings of narrow-band vocalizations from a range of cetacean species.
0001-4966
1974-1984
Locke, Jonathan D.
2e4345cd-703f-4287-b1e2-7b43a3d1f419
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba
Locke, Jonathan D.
2e4345cd-703f-4287-b1e2-7b43a3d1f419
White, P.R.
2dd2477b-5aa9-42e2-9d19-0806d994eaba

Locke, Jonathan D. and White, P.R. (2011) The performance of methods based on the fractional Fourier transform for detecting marine mammal vocalizations. Journal of the Acoustical Society of America, 130 (4), 1974-1984. (doi:10.1121/1.3631664).

Record type: Article

Abstract

The analysis of cetacean vocalizations is considered using Fourier-based techniques that employ
chirp functions in their decomposition. In particular, the paper considers a short-time methods
based on the fractional Fourier transform for detecting frequency modulated narrow-band signals,
such as dolphin whistles, and compares this to the classical short-time Fourier methods. The fractional
Fourier technique explored computes transforms associated with a range of chirp rates and
automatically selects the rate for the final analysis. This avoids the need for prior knowledge of signal’s
chirp rate. An analysis is presented that details the performance of both methods as signal
detectors and allows one to determine their detection thresholds. These thresholds are then used to
measure the detectability of synthetic signals. This principle is then extended to measure performance
on a set of recordings of narrow-band vocalizations from a range of cetacean species.

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More information

Published date: October 2011
Organisations: Signal Processing & Control Grp

Identifiers

Local EPrints ID: 199263
URI: http://eprints.soton.ac.uk/id/eprint/199263
ISSN: 0001-4966
PURE UUID: f76e38da-4e42-4533-9678-fdeb35a95e93
ORCID for P.R. White: ORCID iD orcid.org/0000-0002-4787-8713

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Date deposited: 13 Oct 2011 16:33
Last modified: 15 Mar 2024 02:41

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Contributors

Author: Jonathan D. Locke
Author: P.R. White ORCID iD

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