×

zbMATH — the first resource for mathematics

Underdetermined source separation using mixtures of warped Laplacians. (English) Zbl 1172.94459
Davies, Mike E. (ed.) et al., Independent component analysis and signal separation. 7th international conference, ICA 2007, London, UK, September 9–12, 2007. Proceedings. Berlin: Springer (ISBN 978-3-540-74493-1/pbk). Lecture Notes in Computer Science 4666, 236-243 (2007).
Summary: In a previous work, the authors have introduced a Mixture of Laplacians model in order to cluster the observed data into the sound sources that exist in an underdetermined two-sensor setup. Since the assumed linear support of the ordinary Laplacian distribution is not valid to model angular quantities, such as the Direction of Arrival to the set of sensors, the authors investigate the performance of a Mixture of Warped Laplacians to perform efficient source separation with promising results.
For the entire collection see [Zbl 1129.94002].

MSC:
94A12 Signal theory (characterization, reconstruction, filtering, etc.)
Software:
BSS Eval; Soft-LOST
PDF BibTeX XML Cite
Full Text: DOI