Solving Time-Domain Audio Inverse Problems Using Nonnegative Tensor Factorization

Nonnegative matrix factorization (NMF) and nonnegative tensor factorization (NTF) are important tools for modeling nonnegative data, which gained increasing popularity in various fields, a significant one of which is audio processing. However, there are still many problems in audio processing, for w...

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Veröffentlicht in:	IEEE transactions on signal processing 2018-11, Vol.66 (21), p.5604-5617
Hauptverfasser:	Bilen, Cagdas, Ozerov, Alexey, Perez, Patrick
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science expectation-maximization algorithms Factorization Inverse problems iterative algorithms maximum a posteriori estimation maximum likelihood estimation Modelling Quantization (signal) Sampling Separation Signal and Image Processing Signal processing algorithms Signal reconstruction signal restoration Source separation Tensile stress Time domain analysis Time measurement
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