Generalized Group Delay Weighted Sparse Time–Frequency Analysis for Transient Signals
Bao, Wenjie LU ; Liu, Songyong ; Li, Fucai and Jakobsson, Andreas LU
(2025)
In IEEE Transactions on Instrumentation and Measurement
74.
- Abstract
Time-frequency (TF) postprocessing methods are often used to form concentrated TF representations (TFRs) for nonstationary signals. Regrettably, most such techniques are sensitive to noise and tend to underestimate weak components when dealing with transient signals, resulting in sidelobes and low-resolution TFRs. In this work, we introduce a generalized group delay (GD) weighted sparse TF (GWSTF) analysis method exploiting sparse reconstruction theory to form sparse high-resolution TFRs. Using both numerical simulations and measured data, we show the preferable performance of the proposed method as compared to recent alternative approaches.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/935106a6-0c51-4203-a613-19cd7d821f58
- author
- Bao, Wenjie
LU
; Liu, Songyong
; Li, Fucai
and Jakobsson, Andreas
LU
- organization
-
- Mathematical Statistics
- Statistical Signal Processing Group (research group)
- Biomedical Modelling and Computation (research group)
- eSSENCE: The e-Science Collaboration
- LTH Profile Area: Engineering Health
- LTH Profile Area: AI and Digitalization
- LU Profile Area: Natural and Artificial Cognition
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- publishing date
- 2025
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Fault diagnosis, group delay (GD) estimation, sparse time-frequency analysis (TFAs)
- in
- IEEE Transactions on Instrumentation and Measurement
- volume
- 74
- article number
- 6500709
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- external identifiers
-
- scopus:105001114723
- ISSN
- 0018-9456
- DOI
- 10.1109/TIM.2024.3509584
- language
- English
- LU publication?
- yes
- id
- 935106a6-0c51-4203-a613-19cd7d821f58
- date added to LUP
- 2025-09-10 13:28:46
- date last changed
- 2025-09-10 13:29:41
@article{935106a6-0c51-4203-a613-19cd7d821f58,
abstract = {{<p>Time-frequency (TF) postprocessing methods are often used to form concentrated TF representations (TFRs) for nonstationary signals. Regrettably, most such techniques are sensitive to noise and tend to underestimate weak components when dealing with transient signals, resulting in sidelobes and low-resolution TFRs. In this work, we introduce a generalized group delay (GD) weighted sparse TF (GWSTF) analysis method exploiting sparse reconstruction theory to form sparse high-resolution TFRs. Using both numerical simulations and measured data, we show the preferable performance of the proposed method as compared to recent alternative approaches.</p>}},
author = {{Bao, Wenjie and Liu, Songyong and Li, Fucai and Jakobsson, Andreas}},
issn = {{0018-9456}},
keywords = {{Fault diagnosis; group delay (GD) estimation; sparse time-frequency analysis (TFAs)}},
language = {{eng}},
publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
series = {{IEEE Transactions on Instrumentation and Measurement}},
title = {{Generalized Group Delay Weighted Sparse Time–Frequency Analysis for Transient Signals}},
url = {{http://dx.doi.org/10.1109/TIM.2024.3509584}},
doi = {{10.1109/TIM.2024.3509584}},
volume = {{74}},
year = {{2025}},
}