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Parameter Estimation from the Cross-Spectrogram Reassignment Vectors

Sandsten, Maria LU ; Reinhold, Isabella LU and Anderson, Rachele LU orcid (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.

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author
; and
organization
publishing date
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}},
}