The smoothed reassigned spectrogram for robust energy estimation
(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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- author
- Månsson, Erik M. and Sandsten, Maria LU
- organization
- publishing date
- 2021
- 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}}, }