2134/5706 Wenwu Wang Wenwu Wang Andrzej Cichocki Andrzej Cichocki Jonathon Chambers Jonathon Chambers A multiplicative algorithm for convolutive non-negative matrix factorization based on squared euclidean distance Loughborough University 2009 Audio object separation Convolutive nonnegative matrix factorization Multiplicative algorithm Squared Euclidean distance Mechanical Engineering not elsewhere classified 2009-12-22 16:46:19 Journal contribution https://repository.lboro.ac.uk/articles/journal_contribution/A_multiplicative_algorithm_for_convolutive_non-negative_matrix_factorization_based_on_squared_euclidean_distance/9575876 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 nonnegative matrix. Performance comparisons in terms of computational load and audio onset detection accuracy indicate the advantage of the Euclidean distance criterion over the Kullback–Leibler divergence criterion.