Abstract
We investigate a generalisation of the structure of frequency domain ICA as applied to the separation of convolved mixtures, and show how a geometric representation of residual dependency can be used both as an aid 'to visualisation and intuition, and as tool for clustering components into independent subspaces, thus providing a solution to the source separation problem. © Springer-Verlag 2004.
Cite
CITATION STYLE
Abdallah, S., & Plumbley, M. D. (2004). Application of geometric dependency analysis to the separation of convolved mixtures. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3195, 540–547. https://doi.org/10.1007/978-3-540-30110-3_69
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