Abstract
A connection between the convolutive nonnegative matrix factorization (NMF) and the conventional NMF has been established. As a result, we can convey arbitrary alternating update rules for NMF to update rules for CNMF. In order to illustrate the novel derivation method, a multiplicative algorithm and a new ALS algorithm for CNMF are derived. The experiments confirm validity and high performance of our method and of the proposed algorithm.
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Phan, A.H., Cichocki, A., Tichavský, P., Koldovský, Z. (2012). On Connection between the Convolutive and Ordinary Nonnegative Matrix Factorizations. In: Theis, F., Cichocki, A., Yeredor, A., Zibulevsky, M. (eds) Latent Variable Analysis and Signal Separation. LVA/ICA 2012. Lecture Notes in Computer Science, vol 7191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28551-6_36
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DOI: https://doi.org/10.1007/978-3-642-28551-6_36
Publisher Name: Springer, Berlin, Heidelberg
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