Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Robust multitaper reassignment vectors for enhanced time-frequency representation

Akesson, Maria LU and Sandsten, Maria LU (2024) 32nd European Signal Processing Conference, EUSIPCO 2024 p.2497-2501
Abstract

Time-frequency reassignment, commonly used to analyze time-varying signals, is a post-processing method that sharpens time-frequency representations. However, the reassignment method is sensitive to noise, making it unsuitable for time-frequency analysis when the signal-to-noise ratio is low. To increase the robustness of the reassignment technique, we develop a novel reassigned multitaper spectrogram (ReMuS). Two options for multitaper weights are explored: optimal weights and equal weights, where the optimal weights are designed to minimize the variance of the reassignment vectors in the presence of noise. Simulations suggest that the novel multitaper reassignment vectors have reduced variance in white Gaussian noise in comparison to... (More)

Time-frequency reassignment, commonly used to analyze time-varying signals, is a post-processing method that sharpens time-frequency representations. However, the reassignment method is sensitive to noise, making it unsuitable for time-frequency analysis when the signal-to-noise ratio is low. To increase the robustness of the reassignment technique, we develop a novel reassigned multitaper spectrogram (ReMuS). Two options for multitaper weights are explored: optimal weights and equal weights, where the optimal weights are designed to minimize the variance of the reassignment vectors in the presence of noise. Simulations suggest that the novel multitaper reassignment vectors have reduced variance in white Gaussian noise in comparison to the spectrogram reassignment vectors. Furthermore, it is demonstrated that the multitapers mitigate the influence of spectrogram zeros on the reassignment. Finally, the advantages of the ReMuS compared to the reassigned spectrogram are illustrated on the benchmark”bat signal”.

(Less)
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
Hermite functions, Instantaneous frequency, Spectrogram
host publication
32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings
pages
5 pages
publisher
European Signal Processing Conference, EUSIPCO
conference name
32nd European Signal Processing Conference, EUSIPCO 2024
conference location
Lyon, France
conference dates
2024-08-26 - 2024-08-30
external identifiers
  • scopus:85208431626
ISBN
9789464593617
DOI
10.23919/eusipco63174.2024.10715445
language
English
LU publication?
yes
id
b5b1d698-7382-4498-83f0-1d32b5856b4b
date added to LUP
2025-02-17 15:48:22
date last changed
2025-04-04 14:37:46
@inproceedings{b5b1d698-7382-4498-83f0-1d32b5856b4b,
  abstract     = {{<p>Time-frequency reassignment, commonly used to analyze time-varying signals, is a post-processing method that sharpens time-frequency representations. However, the reassignment method is sensitive to noise, making it unsuitable for time-frequency analysis when the signal-to-noise ratio is low. To increase the robustness of the reassignment technique, we develop a novel reassigned multitaper spectrogram (ReMuS). Two options for multitaper weights are explored: optimal weights and equal weights, where the optimal weights are designed to minimize the variance of the reassignment vectors in the presence of noise. Simulations suggest that the novel multitaper reassignment vectors have reduced variance in white Gaussian noise in comparison to the spectrogram reassignment vectors. Furthermore, it is demonstrated that the multitapers mitigate the influence of spectrogram zeros on the reassignment. Finally, the advantages of the ReMuS compared to the reassigned spectrogram are illustrated on the benchmark”bat signal”.</p>}},
  author       = {{Akesson, Maria and Sandsten, Maria}},
  booktitle    = {{32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings}},
  isbn         = {{9789464593617}},
  keywords     = {{Hermite functions; Instantaneous frequency; Spectrogram}},
  language     = {{eng}},
  pages        = {{2497--2501}},
  publisher    = {{European Signal Processing Conference, EUSIPCO}},
  title        = {{Robust multitaper reassignment vectors for enhanced time-frequency representation}},
  url          = {{http://dx.doi.org/10.23919/eusipco63174.2024.10715445}},
  doi          = {{10.23919/eusipco63174.2024.10715445}},
  year         = {{2024}},
}