Open AccessVariable Length Windowing to Improve Non-Negative Matrix Factorization of Music Signals
Author(s) -
Revanth Pentyala
Publication year - 2015
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2015-11298
Subject(s) - short time fourier transform , non negative matrix factorization , signal (programming language) , computer science , pattern recognition (psychology) , matrix decomposition , algorithm , artificial intelligence , time–frequency analysis , window function , speech recognition , dimension (graph theory) , fourier transform , mathematics , divergence (linguistics) , variable (mathematics) , frame (networking) , fourier analysis , computer vision , filter (signal processing) , mathematical analysis , linguistics , eigenvalues and eigenvectors , physics , philosophy , quantum mechanics , telecommunications , pure mathematics , programming language
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