Stochastic maximum likelihood mean and cross-spectrum structure modelling in neuro-magnetic source estimation

Raoul P.P.P. Grasman, Hilde M. Huizenga, Lourens J. Waldorp, Peter C.M. Molenaar, Koen B.E. Böcker

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

In [R.P.P.P. Grasman et al., Frequency domain simultaneous source and source coherence estimation with an application to MEG, IEEE Trans. Biomed. Eng. 51 (1) (2004) 45-55] we proposed to analyze cross-spectrum matrices obtained from electro- or magnetoencephalographic (EEG/MEG) signals, to obtain estimates of the EEG/MEG sources and their coherence. In this paper we extend this method in two ways. First, by modelling such interactions as linear filters, and second, by taking the mean of the signals across different trials into account. To obtain estimates we propose a stochastic maximum likelihood (SML) method, and obtain the concentrated likelihood that includes the trial means.

Original languageEnglish (US)
Pages (from-to)56-72
Number of pages17
JournalDigital Signal Processing: A Review Journal
Volume15
Issue number1
DOIs
StatePublished - Jan 2005

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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