Source Separation of Phase-Locked Subspaces

Authors:
Miguel Almeida;Ricardo Vigário
Affiliations:
Adaptive Informatics Research Centre Department of Information and Computer Science, Helsinki University of Technology, Finland;Adaptive Informatics Research Centre Department of Information and Computer Science, Helsinki University of Technology, Finland
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

Citing 1
Cited 1

Discrete-time signal processing (2nd ed.)

Discrete-time signal processing (2nd ed.)

Independent phase analysis: separating phase-locked subspaces

LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation

Quantified Score

Hi-index	0.00

Visualization

Abstract

ICA can be interpreted as the minimization of a disorder parameter, such as the sum of the mutual informations between the estimated sources. Following this interpretation, we present a disorder parameter minimization algorithm for the separation of sources organized in subspaces when the phase synchrony within a subspace is high and the phase synchrony across subspaces is low. We demonstrate that a previously reported algorithm for this type of situation has poor performance and present a modified version, called Independent Phase Analysis (IPA), which drastically improves the quality of results. We study the performance of IPA for different numbers of sources and discuss further improvements that are necessary for its application to real data.