Phase Reassignment with Efficient Estimation of Phase Difference
(2022) 30th European Signal Processing Conference, EUSIPCO 2022 In European Signal Processing Conference 2022-August. p.2126-2130- Abstract
The recently developed Matched Phase Reassignment (MPR) gives a time-frequency local measure of phase difference between short oscillatory transient signals. However, the resulting phase estimate is not satisfactory as it has poor resolution for high oscillatory frequencies. The MPR is also sensitive to high noise levels and is computationally cumbersome. In this paper, a novel reassignment method for phase difference estimation is proposed and evaluated. In comparison to the MPR the accuracy is increased and the computational time is reduced. Simulations show that the proposed technique also outperforms state-of-the-art methods in terms of efficiency. An illustrative example of phase difference estimates of the electrical signals... (More)
The recently developed Matched Phase Reassignment (MPR) gives a time-frequency local measure of phase difference between short oscillatory transient signals. However, the resulting phase estimate is not satisfactory as it has poor resolution for high oscillatory frequencies. The MPR is also sensitive to high noise levels and is computationally cumbersome. In this paper, a novel reassignment method for phase difference estimation is proposed and evaluated. In comparison to the MPR the accuracy is increased and the computational time is reduced. Simulations show that the proposed technique also outperforms state-of-the-art methods in terms of efficiency. An illustrative example of phase difference estimates of the electrical signals measured from the brain is included.
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- author
- Akesson, Maria LU and Sandsten, Maria LU
- organization
- publishing date
- 2022
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings
- series title
- European Signal Processing Conference
- volume
- 2022-August
- pages
- 5 pages
- publisher
- European Signal Processing Conference, EUSIPCO
- conference name
- 30th European Signal Processing Conference, EUSIPCO 2022
- conference location
- Belgrade, Serbia
- conference dates
- 2022-08-29 - 2022-09-02
- external identifiers
-
- scopus:85141011677
- ISSN
- 2219-5491
- ISBN
- 9789082797091
- language
- English
- LU publication?
- yes
- id
- 14a94e8b-a462-4c4b-8201-d4e487d19c2f
- date added to LUP
- 2022-12-05 14:17:37
- date last changed
- 2023-11-21 13:26:11
@inproceedings{14a94e8b-a462-4c4b-8201-d4e487d19c2f, abstract = {{<p>The recently developed Matched Phase Reassignment (MPR) gives a time-frequency local measure of phase difference between short oscillatory transient signals. However, the resulting phase estimate is not satisfactory as it has poor resolution for high oscillatory frequencies. The MPR is also sensitive to high noise levels and is computationally cumbersome. In this paper, a novel reassignment method for phase difference estimation is proposed and evaluated. In comparison to the MPR the accuracy is increased and the computational time is reduced. Simulations show that the proposed technique also outperforms state-of-the-art methods in terms of efficiency. An illustrative example of phase difference estimates of the electrical signals measured from the brain is included.</p>}}, author = {{Akesson, Maria and Sandsten, Maria}}, booktitle = {{30th European Signal Processing Conference, EUSIPCO 2022 - Proceedings}}, isbn = {{9789082797091}}, issn = {{2219-5491}}, language = {{eng}}, pages = {{2126--2130}}, publisher = {{European Signal Processing Conference, EUSIPCO}}, series = {{European Signal Processing Conference}}, title = {{Phase Reassignment with Efficient Estimation of Phase Difference}}, volume = {{2022-August}}, year = {{2022}}, }