Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals

We present a non-stationary signal classification algorithm based on a time-frequency representation and a multiple hypothesis test. The time-frequency representation is used to construct a time-dependent quadratic discriminant function. At selected points in time we evaluate the discriminant functi...

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Bibliographic Details
Main Authors: Roberts, G, Zoubir, AM, Boashash, B
Format: Conference Object
Language:English
Published: I E E E, COMPUTER SOC PRESS 1997
Subjects:
Acoustics
Engineering
Electrical & Electronic
Humpback Whale
Online Access:https://espace.library.uq.edu.au/view/UQ:310414
id ftunivqespace:oai:espace.library.uq.edu.au:UQ:310414
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spelling ftunivqespace:oai:espace.library.uq.edu.au:UQ:310414 2023-05-15T16:35:51+02:00 Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals Roberts, G Zoubir, AM Boashash, B 1997-01-01 https://espace.library.uq.edu.au/view/UQ:310414 eng eng I E E E, COMPUTER SOC PRESS orcid:0000-0002-2404-9103 Acoustics Engineering Electrical & Electronic Conference Paper 1997 ftunivqespace 2020-08-05T07:35:35Z We present a non-stationary signal classification algorithm based on a time-frequency representation and a multiple hypothesis test. The time-frequency representation is used to construct a time-dependent quadratic discriminant function. At selected points in time we evaluate the discriminant function and form a set of statistics which are used to test the multiple hypotheses. The multiple hypotheses are treated simultaneously using the sequentially rejective Bonferroni test to control the probability of incorrect classification of one class. We show results for classifying three classes of humpback whale calls. The results demonstrate that this time-frequency method performs favourably when compared with a frequency domain method which assumes stationarity. Conference Object Humpback Whale The University of Queensland: UQ eSpace
institution Open Polar
collection The University of Queensland: UQ eSpace
op_collection_id ftunivqespace
language English
topic Acoustics
Engineering
Electrical & Electronic
spellingShingle Acoustics
Engineering
Electrical & Electronic
Roberts, G
Zoubir, AM
Boashash, B
Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals
topic_facet Acoustics
Engineering
Electrical & Electronic
description We present a non-stationary signal classification algorithm based on a time-frequency representation and a multiple hypothesis test. The time-frequency representation is used to construct a time-dependent quadratic discriminant function. At selected points in time we evaluate the discriminant function and form a set of statistics which are used to test the multiple hypotheses. The multiple hypotheses are treated simultaneously using the sequentially rejective Bonferroni test to control the probability of incorrect classification of one class. We show results for classifying three classes of humpback whale calls. The results demonstrate that this time-frequency method performs favourably when compared with a frequency domain method which assumes stationarity.
format Conference Object
author Roberts, G
Zoubir, AM
Boashash, B
author_facet Roberts, G
Zoubir, AM
Boashash, B
author_sort Roberts, G
title Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals
title_short Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals
title_full Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals
title_fullStr Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals
title_full_unstemmed Time-frequency classification using a multiple hypotheses test: An application to the classification of humpback whale signals
title_sort time-frequency classification using a multiple hypotheses test: an application to the classification of humpback whale signals
publisher I E E E, COMPUTER SOC PRESS
publishDate 1997
url https://espace.library.uq.edu.au/view/UQ:310414
genre Humpback Whale
genre_facet Humpback Whale
op_relation orcid:0000-0002-2404-9103
_version_ 1766026154778558464

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