Title :
Multi-resolution signal decomposition with time-domain spectrogram factorization
Author :
Kameoka, Hirokazu
Author_Institution :
Univ. of Tokyo, Tokyo, Japan
Abstract :
This paper proposes a novel framework that makes it possible to realize non-negative matrix factorization (NMF)-like signal decompositions in the time-domain. This new formulation also allows for an extension to multi-resolution signal decomposition, which was not possible with the conventional NMF framework.
Keywords :
matrix algebra; signal processing; NMF; multiresolution signal decomposition; nonnegative matrix factorization; time domain spectrogram factorization; Linear programming; Matrix decomposition; Signal resolution; Source separation; Spectrogram; Time-domain analysis; Time-frequency analysis; Audio source separation; auxiliary function; majorization-minimization (MM); multi-resolution representation; non-negative matrix factorization (NMF);
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7177937