A multiplicative algorithm for convolutive non-negative matrix factorization based on squared euclidean distance

Using the convolutive nonnegative matrix factorization (NMF) model due to Smaragdis, we develop a novel algorithm for matrix decomposition based on the squared Euclidean distance criterion. The algorithm features new formally derived learning rules and an efficient update for the reconstructed nonne...

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Bibliographic Details

Main Authors:	Wenwu Wang, Andrzej Cichocki, Jonathon Chambers
Format:	Default Article
Published:	2009
Subjects:	Mechanical engineering not elsewhere classified Audio object separation Convolutive nonnegative matrix factorization Multiplicative algorithm Squared Euclidean distance Mechanical Engineering not elsewhere classified
Online Access:	https://hdl.handle.net/2134/5706
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