title: Stationarity stopping criterion for matching pursuit-framework and encephalographic illustration.
abstract: We present a new stopping criterion for the matching pursuit (MP) algorithm, based on evaluating stationarity of the residua of the consecutive MP iterations. The new stopping criterion is based on a model of a nonstationary signal, which assumes that the part of the signal that is of interest is nonstationary and contaminated by a weakly stationary noise. Mean- and variance-stationarity of the residua obtained from each step of MP is evaluated by means of dedicated statistical tests-the Kwiatkowski-Phillips-Schmidt-Shin (KPSS) test and the White test, respectively. We illustrate the proposed concept by an example in which we analyse magnetoencephalographic (MEG) data.
authors.affiliation: Department of Patophysiology, Wrocław Medical University, Wrocław, Poland. lech.kipinski@patfiz.am.wroc.pl
authors.forename: Lech
authors.initials: L
authors.lastname: Kipiński
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D058256:Brain Waves / Q000502:physiology*; D004569:Electroencephalography; D006801:Humans; D015225:Magnetoencephalography; D008959:Models, Neurological; D012815:Signal Processing, Computer-Assisted