• DocumentCode
    3237962
  • Title

    Generalized Partial Directed Coherence

  • Author

    Baccald, L.A. ; de Medicina, F.

  • Author_Institution
    Univ. de Sao Paulo, Sao Paulo
  • fYear
    2007
  • fDate
    1-4 July 2007
  • Firstpage
    163
  • Lastpage
    166
  • Abstract
    This paper re-examines the definition of partial directed coherence (PDC) which was recently introduced as a linear frequency-domain quantifier of the multivariate relationship between simultaneously observed time series for application in functional connectivity inference in neuroscience. The present reappraisal aims at improving PDC´s performance under scenarios that involve severely unbalanced predictive modelling errors (innovations noise). The present modification turns out to be more robust in estimating imprecisions associated with finite time series samples.
  • Keywords
    frequency-domain analysis; medical signal processing; neurophysiology; time series; functional connectivity inference; generalized partial directed coherence; innovations noise; linear frequency-domain quantifier; neuroscience; time series; unbalanced predictive modelling errors; Coherence; Data analysis; Frequency domain analysis; Neuroscience; Noise robustness; Predictive models; Rhythm; Technological innovation; Testing; Time series analysis; Granger Causality; Neural connectivity; hypothesis testing; partial directed coherence; variance stabilization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2007 15th International Conference on
  • Conference_Location
    Cardiff
  • Print_ISBN
    1-4244-0882-2
  • Electronic_ISBN
    1-4244-0882-2
  • Type

    conf

  • DOI
    10.1109/ICDSP.2007.4288544
  • Filename
    4288544