Parameter Estimation from the Cross-Spectrogram Reassignment Vectors
(2021) 29th European Signal Processing Conference, EUSIPCO 2021 In European Signal Processing Conference 2021-August. p.1915-1919- Abstract
In this paper we propose a novel technique to estimate the parameters of two Gaussian envelope oscillatory signals, with the same time-locations and oscillatory frequencies but possibly different phases. The phase difference and the length of the Gaussian envelope are estimated directly from the slopes of the corresponding cross-spectrogram reassignment vectors. Including the phase difference and the envelope length in the scaled reassignment of the cross-spectrogram will give a perfectly concentrated time-frequency spectrum where the location of the maximum gives estimates of the time and oscillatory frequency parameters. The proposed method is evaluated for different SNRs and is also compared to state-of-the-art techniques for phase... (More)
In this paper we propose a novel technique to estimate the parameters of two Gaussian envelope oscillatory signals, with the same time-locations and oscillatory frequencies but possibly different phases. The phase difference and the length of the Gaussian envelope are estimated directly from the slopes of the corresponding cross-spectrogram reassignment vectors. Including the phase difference and the envelope length in the scaled reassignment of the cross-spectrogram will give a perfectly concentrated time-frequency spectrum where the location of the maximum gives estimates of the time and oscillatory frequency parameters. The proposed method is evaluated for different SNRs and is also compared to state-of-the-art techniques for phase estimation of oscillatory electrical activity measured from the brain.
(Less)
- author
- Sandsten, Maria LU ; Reinhold, Isabella LU and Anderson, Rachele LU
- organization
- publishing date
- 2021
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- EEG, Oscillating transient signals, Parameter estimation, Phase estimation, Time-frequency reassignment
- host publication
- 29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
- series title
- European Signal Processing Conference
- volume
- 2021-August
- pages
- 5 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 29th European Signal Processing Conference, EUSIPCO 2021
- conference location
- Dublin, Ireland
- conference dates
- 2021-08-23 - 2021-08-27
- external identifiers
-
- scopus:85123207137
- ISSN
- 2219-5491
- ISBN
- 9789082797060
- DOI
- 10.23919/EUSIPCO54536.2021.9616278
- language
- English
- LU publication?
- yes
- id
- 59c6eb72-b1c3-4a8e-8f5b-30e78183279e
- date added to LUP
- 2022-03-24 14:44:29
- date last changed
- 2022-04-24 22:32:21
@inproceedings{59c6eb72-b1c3-4a8e-8f5b-30e78183279e, abstract = {{<p>In this paper we propose a novel technique to estimate the parameters of two Gaussian envelope oscillatory signals, with the same time-locations and oscillatory frequencies but possibly different phases. The phase difference and the length of the Gaussian envelope are estimated directly from the slopes of the corresponding cross-spectrogram reassignment vectors. Including the phase difference and the envelope length in the scaled reassignment of the cross-spectrogram will give a perfectly concentrated time-frequency spectrum where the location of the maximum gives estimates of the time and oscillatory frequency parameters. The proposed method is evaluated for different SNRs and is also compared to state-of-the-art techniques for phase estimation of oscillatory electrical activity measured from the brain.</p>}}, author = {{Sandsten, Maria and Reinhold, Isabella and Anderson, Rachele}}, booktitle = {{29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings}}, isbn = {{9789082797060}}, issn = {{2219-5491}}, keywords = {{EEG; Oscillating transient signals; Parameter estimation; Phase estimation; Time-frequency reassignment}}, language = {{eng}}, pages = {{1915--1919}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, series = {{European Signal Processing Conference}}, title = {{Parameter Estimation from the Cross-Spectrogram Reassignment Vectors}}, url = {{http://dx.doi.org/10.23919/EUSIPCO54536.2021.9616278}}, doi = {{10.23919/EUSIPCO54536.2021.9616278}}, volume = {{2021-August}}, year = {{2021}}, }