Abstract
In this paper, the authors address the permutation ambiguity that exists in frequency domain Independent Component Analysis of convolutive mixtures. Many methods have been proposed to solve this ambiguity. Recently, a couple of beamforming approaches have been proposed to address this ambiguity. The authors explore the use of subspace methods for permutation alignment, in the case of equal number of sources and sensors. © Springer-Verlag 2004.
Cite
CITATION STYLE
Mitianoudis, N., & Davies, M. (2004). Permutation alignment for frequency domain ICA using subspace beamforming methods. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 669–676. https://doi.org/10.1007/978-3-540-30110-3_85
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