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Phase Reassignment with Efficient Estimation of Phase Difference

Akesson, Maria LU and Sandsten, Maria LU (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
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organization
publishing date
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}},
}