Parameter Estimation from the Cross-Spectrogram Reassignment Vectors

Maria Sandsten, Isabella Reinhold, Rachele Anderson

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceedingpeer-review


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.

Original languageEnglish
Title of host publication29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Number of pages5
ISBN (Electronic)9789082797060
Publication statusPublished - 2021
Event29th European Signal Processing Conference, EUSIPCO 2021 - Dublin, Ireland
Duration: 2021 Aug 232021 Aug 27

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference29th European Signal Processing Conference, EUSIPCO 2021

Subject classification (UKÄ)

  • Signal Processing

Free keywords

  • EEG
  • Oscillating transient signals
  • Parameter estimation
  • Phase estimation
  • Time-frequency reassignment


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