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Detection and Classification of Nonstationary Transient Signals Using Sparse Approximations and Bayesian Networks

Author:
Wachowski, Neil
,
Azimi-Sadjadi, Mahmood R.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/TASLP.2014.2348913
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1142085
Keyword(s): approximation theory,belief networks,signal classification,signal detection,statistical testing,Bayesian networks,additive noise,associated hypothesis,complex sonic environments,generalized likelihood ratio tests,multiple transient signal classification,national park soundscape analysis problem,nonstationary transient signal classification,nonstationary transient signal detection,quiescent detection,quiescent periods,real acoustical source classification,real acoustical source d
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    Detection and Classification of Nonstationary Transient Signals Using Sparse Approximations and Bayesian Networks

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contributor authorWachowski, Neil
contributor authorAzimi-Sadjadi, Mahmood R.
date accessioned2020-03-13T00:18:47Z
date available2020-03-13T00:18:47Z
date issued2014
identifier issn2329-9290
identifier other6879434.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1142085?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titleDetection and Classification of Nonstationary Transient Signals Using Sparse Approximations and Bayesian Networks
typeJournal Paper
contenttypeMetadata Only
identifier padid8324571
subject keywordsapproximation theory
subject keywordsbelief networks
subject keywordssignal classification
subject keywordssignal detection
subject keywordsstatistical testing
subject keywordsBayesian networks
subject keywordsadditive noise
subject keywordsassociated hypothesis
subject keywordscomplex sonic environments
subject keywordsgeneralized likelihood ratio tests
subject keywordsmultiple transient signal classification
subject keywordsnational park soundscape analysis problem
subject keywordsnonstationary transient signal classification
subject keywordsnonstationary transient signal detection
subject keywordsquiescent detection
subject keywordsquiescent periods
subject keywordsreal acoustical source classification
subject keywordsreal acoustical source d
identifier doi10.1109/TASLP.2014.2348913
journal titleAudio, Speech, and Language Processing, IEEE/ACM Transactions on
journal volume22
journal issue12
filesize2843118
citations0
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