Title :
Generalized Partial Directed Coherence
Author :
Baccald, L.A. ; de Medicina, F.
Author_Institution :
Univ. de Sao Paulo, Sao Paulo
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;
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
DOI :
10.1109/ICDSP.2007.4288544