Independent Component Analysis for Time-dependent Processes Using AR Source Model

Abstract

Independent component analysis is a fundamental and important task in unsupervised learning, that was studied mainly in the domain of Hebbian learning. In this paper, the temporal dependencies are explained by assuming that each source is an autoregressive (AR) process and innovations are independently and identically distributed (i.i.d). First, the… (More)
DOI: 10.1007/s11063-008-9071-3

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