The scaled reassigned spectrogram adapted for detection and localisation of transient signals

The reassigned spectrogram can be used to improve the readability of a time-frequency representation of a non-stationary and multi-component signal. However for transient signals the reassignment needs to be adapted in order to achieve good localisation of the signal components. One approach is to s...

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Published in:2017 25th European Signal Processing Conference (EUSIPCO)
Main Authors: Reinhold, Isabella, Starkhammar, Josefin, Sandsten, Maria
Format: Conference Object
Language:English
Published: European Association for Signal Processing (EURASIP) 2017
Subjects:
Online Access:https://lup.lub.lu.se/record/16f5ca49-9347-4fdf-a44c-8b9c39f4582a
https://doi.org/10.23919/EUSIPCO.2017.8081339
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spelling ftulundlup:oai:lup.lub.lu.se:16f5ca49-9347-4fdf-a44c-8b9c39f4582a 2023-05-15T15:41:52+02:00 The scaled reassigned spectrogram adapted for detection and localisation of transient signals Reinhold, Isabella Starkhammar, Josefin Sandsten, Maria 2017 https://lup.lub.lu.se/record/16f5ca49-9347-4fdf-a44c-8b9c39f4582a https://doi.org/10.23919/EUSIPCO.2017.8081339 eng eng European Association for Signal Processing (EURASIP) https://lup.lub.lu.se/record/16f5ca49-9347-4fdf-a44c-8b9c39f4582a http://dx.doi.org/10.23919/EUSIPCO.2017.8081339 ISBN: 978-0-9928626-7-1 scopus:85041393597 Probability Theory and Statistics Signal Processing Hermite functions non-stationary signals time-frequency analysis reassignment signal resolution contributiontobookanthology/conference info:eu-repo/semantics/conferencePaper text 2017 ftulundlup https://doi.org/10.23919/EUSIPCO.2017.8081339 2023-02-01T23:36:10Z The reassigned spectrogram can be used to improve the readability of a time-frequency representation of a non-stationary and multi-component signal. However for transient signals the reassignment needs to be adapted in order to achieve good localisation of the signal components. One approach is to scale the reassignment. This paper shows that by adapting the shape of the time window used with the spectrogram and by scaling the reassignment, perfect localisation can be achieved for a transient signal component. It is also shown that without matching the shape of the window, perfect localisation is not achieved. This is used to both identify the time-frequency centres of components in a multi-component signal, and to detect the shapes of the signal components. The scaled reassigned spectrogram with the matching shape window is shown to be able to resolve close components and works well for multi-components signals with noise. An echolocation signal from a beluga whale (Delphinapterus leucas) provides an example of how the method performs on a measured signal. Conference Object Beluga Beluga whale Beluga* Delphinapterus leucas Lund University Publications (LUP) 2017 25th European Signal Processing Conference (EUSIPCO) 907 911
institution Open Polar
collection Lund University Publications (LUP)
op_collection_id ftulundlup
language English
topic Probability Theory and Statistics
Signal Processing
Hermite functions
non-stationary signals
time-frequency analysis
reassignment
signal resolution
spellingShingle Probability Theory and Statistics
Signal Processing
Hermite functions
non-stationary signals
time-frequency analysis
reassignment
signal resolution
Reinhold, Isabella
Starkhammar, Josefin
Sandsten, Maria
The scaled reassigned spectrogram adapted for detection and localisation of transient signals
topic_facet Probability Theory and Statistics
Signal Processing
Hermite functions
non-stationary signals
time-frequency analysis
reassignment
signal resolution
description The reassigned spectrogram can be used to improve the readability of a time-frequency representation of a non-stationary and multi-component signal. However for transient signals the reassignment needs to be adapted in order to achieve good localisation of the signal components. One approach is to scale the reassignment. This paper shows that by adapting the shape of the time window used with the spectrogram and by scaling the reassignment, perfect localisation can be achieved for a transient signal component. It is also shown that without matching the shape of the window, perfect localisation is not achieved. This is used to both identify the time-frequency centres of components in a multi-component signal, and to detect the shapes of the signal components. The scaled reassigned spectrogram with the matching shape window is shown to be able to resolve close components and works well for multi-components signals with noise. An echolocation signal from a beluga whale (Delphinapterus leucas) provides an example of how the method performs on a measured signal.
format Conference Object
author Reinhold, Isabella
Starkhammar, Josefin
Sandsten, Maria
author_facet Reinhold, Isabella
Starkhammar, Josefin
Sandsten, Maria
author_sort Reinhold, Isabella
title The scaled reassigned spectrogram adapted for detection and localisation of transient signals
title_short The scaled reassigned spectrogram adapted for detection and localisation of transient signals
title_full The scaled reassigned spectrogram adapted for detection and localisation of transient signals
title_fullStr The scaled reassigned spectrogram adapted for detection and localisation of transient signals
title_full_unstemmed The scaled reassigned spectrogram adapted for detection and localisation of transient signals
title_sort scaled reassigned spectrogram adapted for detection and localisation of transient signals
publisher European Association for Signal Processing (EURASIP)
publishDate 2017
url https://lup.lub.lu.se/record/16f5ca49-9347-4fdf-a44c-8b9c39f4582a
https://doi.org/10.23919/EUSIPCO.2017.8081339
genre Beluga
Beluga whale
Beluga*
Delphinapterus leucas
genre_facet Beluga
Beluga whale
Beluga*
Delphinapterus leucas
op_relation https://lup.lub.lu.se/record/16f5ca49-9347-4fdf-a44c-8b9c39f4582a
http://dx.doi.org/10.23919/EUSIPCO.2017.8081339
ISBN: 978-0-9928626-7-1
scopus:85041393597
op_doi https://doi.org/10.23919/EUSIPCO.2017.8081339
container_title 2017 25th European Signal Processing Conference (EUSIPCO)
container_start_page 907
op_container_end_page 911
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