We present a new deflation procedure for blind signal separation based on sparsity. It allows, under mild sparsity assumptions, to separate mixtures which could not be separated by ICA methods. We present a new algorithm for sparse deflations and apply it for sparse blind signal separation of mixtures of signals with bounded support. Relations to signals from High Performance Liquid Chromatography in chemistry are discussed and computer simulation examples are presented. © Springer-Verlag Berlin Heidelberg 2006.
CITATION STYLE
Georgiev, P., Nuzillard, D., & Ralescu, A. (2006). Sparse deflations in blind signal separation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3889 LNCS, pp. 807–814). https://doi.org/10.1007/11679363_100
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