Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis

Volume: 60, Issue: 4, Pages: 1672 - 1683
Published: Apr 1, 2012
Abstract
In this paper, we consider the joint blind source separation (JBSS) problem and introduce a number of algorithms to solve the JBSS problem using the independent vector analysis (IVA) framework. Source separation of multiple datasets simultaneously is possible when the sources within each and every dataset are independent of one another and each source is dependent on at most one source within each of the other datasets. In addition to source...
Paper Details
Title
Joint Blind Source Separation With Multivariate Gaussian Model: Algorithms and Performance Analysis
Published Date
Apr 1, 2012
Volume
60
Issue
4
Pages
1672 - 1683
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