Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs

Bibliographic Details
Main Author: Roberts, Geoff
Format: Thesis
Language:unknown
Published: Queensland University of Technology 1999
Subjects:
Signal processing
Time series analysis
Frequency spectra
Whale sounds
Humpback whale Vocalization
non-stationary
signals
random process
classification
pattern recognition
detection
segmentation
discriminant function
Bayesian
Neyman Pearson
global significance level
multiple hypotheses
Bonferroni inequality
Bonferroni test
time-frequency
spectrogram
humpback whale
thesis
doctoral
Humpback Whale
Online Access:https://eprints.qut.edu.au/36136/
id ftqueensland:oai:eprints.qut.edu.au:36136
record_format openpolar
spelling ftqueensland:oai:eprints.qut.edu.au:36136 2023-05-15T16:35:40+02:00 Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs Roberts, Geoff 1999 https://eprints.qut.edu.au/36136/ unknown Queensland University of Technology Roberts, Geoff, (1999) Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs. PhD thesis, Queensland University of Technology. https://eprints.qut.edu.au/36136/ Copyright Geoff, Roberts Signal processing Time series analysis Frequency spectra Whale sounds Humpback whale Vocalization non-stationary signals random process classification pattern recognition detection segmentation discriminant function Bayesian Neyman Pearson global significance level multiple hypotheses Bonferroni inequality Bonferroni test time-frequency spectrogram humpback whale thesis doctoral Thesis 1999 ftqueensland 2023-03-15T10:04:24Z Thesis Humpback Whale Queensland University of Technology: QUT ePrints
institution Open Polar
collection Queensland University of Technology: QUT ePrints
op_collection_id ftqueensland
language unknown
topic Signal processing
Time series analysis
Frequency spectra
Whale sounds
Humpback whale Vocalization
non-stationary
signals
random process
classification
pattern recognition
detection
segmentation
discriminant function
Bayesian
Neyman Pearson
global significance level
multiple hypotheses
Bonferroni inequality
Bonferroni test
time-frequency
spectrogram
humpback whale
thesis
doctoral
spellingShingle Signal processing
Time series analysis
Frequency spectra
Whale sounds
Humpback whale Vocalization
non-stationary
signals
random process
classification
pattern recognition
detection
segmentation
discriminant function
Bayesian
Neyman Pearson
global significance level
multiple hypotheses
Bonferroni inequality
Bonferroni test
time-frequency
spectrogram
humpback whale
thesis
doctoral
Roberts, Geoff
Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
topic_facet Signal processing
Time series analysis
Frequency spectra
Whale sounds
Humpback whale Vocalization
non-stationary
signals
random process
classification
pattern recognition
detection
segmentation
discriminant function
Bayesian
Neyman Pearson
global significance level
multiple hypotheses
Bonferroni inequality
Bonferroni test
time-frequency
spectrogram
humpback whale
thesis
doctoral
format Thesis
author Roberts, Geoff
author_facet Roberts, Geoff
author_sort Roberts, Geoff
title Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
title_short Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
title_full Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
title_fullStr Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
title_full_unstemmed Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
title_sort classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs
publisher Queensland University of Technology
publishDate 1999
url https://eprints.qut.edu.au/36136/
genre Humpback Whale
genre_facet Humpback Whale
op_relation Roberts, Geoff, (1999) Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs. PhD thesis, Queensland University of Technology.
https://eprints.qut.edu.au/36136/
op_rights Copyright Geoff, Roberts
_version_ 1766025954129346560

Similar Items