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Abstract
The matched phase reassignment, developed to estimate phase synchrony of transient oscillatory signals, is extended into a multitaper phase reassignment (MTPR) method. The method gives perfect time-frequency localization for two transients with zero phase difference and estimates of time locations and oscillatory frequencies in low signal-to-noise ratios. For different signal-to-noise ratios between channels a suggestion of corrected reassignment vector expressions is given, resulting in minimized variance. The MTPR outperforms the matched phase reassignment as well as state-of-the-art methods, such as Pearson's linear correlation, time-frequency cross-spectrogram phase estimation and the Phase Lag Index method. An example of estimated phase differences, time locations and oscillatory frequencies of electrical signals measured from the brain is also shown.
Original language | English |
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Title of host publication | 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings |
Publisher | European Signal Processing Conference, EUSIPCO |
Pages | 2164-2168 |
Number of pages | 5 |
ISBN (Electronic) | 9789082797060 |
DOIs | |
Publication status | Published - 2021 |
Event | 29th European Signal Processing Conference, EUSIPCO 2021 - Dublin, Ireland Duration: 2021 Aug 23 → 2021 Aug 27 |
Publication series
Name | European Signal Processing Conference |
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Volume | 2021-August |
ISSN (Print) | 2219-5491 |
Conference
Conference | 29th European Signal Processing Conference, EUSIPCO 2021 |
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Country/Territory | Ireland |
City | Dublin |
Period | 2021/08/23 → 2021/08/27 |
Bibliographical note
Funding Information:This work was supported by the Wallenberg Autonomous Systems and Software Program (WASP) funded by Knut and Alice Wallenberg Foundation.
Publisher Copyright:
© 2021 European Signal Processing Conference. All rights reserved.
Subject classification (UKÄ)
- Control Engineering
Free keywords
- EEG
- Multitapers
- Oscillatory transient signals
- Phase synchronization
- Time-frequency reassignment
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eSSENCE@LU 8:4 - Diving deeper than ever into dolphin echolocation
Starkhammar, J. (PI), Grassi, L. (Researcher) & Sandsten, M. (Researcher)
2022/01/01 → 2023/12/31
Project: Research