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The smoothed reassigned spectrogram for robust energy estimation

Månsson, Erik M. and Sandsten, Maria LU (2021) 28th European Signal Processing Conference, EUSIPCO 2020 In European Signal Processing Conference 2021-January. p.2210-2214
Abstract

The matched window reassigned spectrogram relocates all signal energy of an oscillating transient to the time- and frequency locations, resulting in a sharp peak in the time-frequency plane. However, previous research has shown that the method may result in split energy peaks for close components and in high noise levels, and the peak energy is then erroneously estimated. With use of novel knowledge on the statistics when subjected to noise, we propose a novel method, the smoothed reassigned spectrogram, for obtaining a stable and accurate measure of the signal energy from the peak value, with retained resolution properties. We also suggest a simple set of rules to enhance the reassigned spectrogram and speed up its calculation.... (More)

The matched window reassigned spectrogram relocates all signal energy of an oscillating transient to the time- and frequency locations, resulting in a sharp peak in the time-frequency plane. However, previous research has shown that the method may result in split energy peaks for close components and in high noise levels, and the peak energy is then erroneously estimated. With use of novel knowledge on the statistics when subjected to noise, we propose a novel method, the smoothed reassigned spectrogram, for obtaining a stable and accurate measure of the signal energy from the peak value, with retained resolution properties. We also suggest a simple set of rules to enhance the reassigned spectrogram and speed up its calculation. Simulations are performed to verify the accuracy and an application example on radar data is shown.

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Oscillating transient, Reassignment vector statistics, Smoothing kernels, Time-frequency reassignment
host publication
28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
series title
European Signal Processing Conference
volume
2021-January
article number
9287396
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
28th European Signal Processing Conference, EUSIPCO 2020
conference location
Amsterdam, Netherlands
conference dates
2020-08-24 - 2020-08-28
external identifiers
  • scopus:85099305194
ISSN
2219-5491
ISBN
9789082797053
DOI
10.23919/Eusipco47968.2020.9287396
language
English
LU publication?
yes
id
60e0ee12-263b-45f6-b0cb-213c75979180
date added to LUP
2021-01-25 09:17:54
date last changed
2022-04-26 23:50:52
@inproceedings{60e0ee12-263b-45f6-b0cb-213c75979180,
  abstract     = {{<p>The matched window reassigned spectrogram relocates all signal energy of an oscillating transient to the time- and frequency locations, resulting in a sharp peak in the time-frequency plane. However, previous research has shown that the method may result in split energy peaks for close components and in high noise levels, and the peak energy is then erroneously estimated. With use of novel knowledge on the statistics when subjected to noise, we propose a novel method, the smoothed reassigned spectrogram, for obtaining a stable and accurate measure of the signal energy from the peak value, with retained resolution properties. We also suggest a simple set of rules to enhance the reassigned spectrogram and speed up its calculation. Simulations are performed to verify the accuracy and an application example on radar data is shown.</p>}},
  author       = {{Månsson, Erik M. and Sandsten, Maria}},
  booktitle    = {{28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings}},
  isbn         = {{9789082797053}},
  issn         = {{2219-5491}},
  keywords     = {{Oscillating transient; Reassignment vector statistics; Smoothing kernels; Time-frequency reassignment}},
  language     = {{eng}},
  pages        = {{2210--2214}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{European Signal Processing Conference}},
  title        = {{The smoothed reassigned spectrogram for robust energy estimation}},
  url          = {{http://dx.doi.org/10.23919/Eusipco47968.2020.9287396}},
  doi          = {{10.23919/Eusipco47968.2020.9287396}},
  volume       = {{2021-January}},
  year         = {{2021}},
}