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...
Published in: | 2017 25th European Signal Processing Conference (EUSIPCO) |
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European Association for Signal Processing (EURASIP)
2017
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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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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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1766374745958252544 |