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ICA
2010
Springer

Adaptive Underdetermined ICA for Handling an Unknown Number of Sources

13 years 4 months ago
Adaptive Underdetermined ICA for Handling an Unknown Number of Sources
Independent Component Analysis is the best known method for solving blind source separation problems. In general, the number of sources must be known in advance. In many cases, previous assumption is not justified. To overcome difficulties caused by an unknown number of sources, an adaptive algorithm based on a simple geometric approach for Independent Component Analysis is presented. By adding a learning rule for the number of sources, the complete method is a two-step algorithm, adapting alternately the number of sources and the mixing matrix. The independent components are estimated in a separate source inference step as required for underdetermined mixtures.
Andreas Sandmair, Alam Zaib, Fernando Puente Le&oa
Added 09 Nov 2010
Updated 09 Nov 2010
Type Conference
Year 2010
Where ICA
Authors Andreas Sandmair, Alam Zaib, Fernando Puente León
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