Open AccessVariable Length Windowing to Improve Non-Negative Matrix Factorization of Music Signals
Author(s) -
Revanth Pentyala
Publication year - 2018
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.22215/etd/2015-11298
Subject(s) - short time fourier transform , non negative matrix factorization , computer science , signal (programming language) , pattern recognition (psychology) , algorithm , artificial intelligence , matrix decomposition , speech recognition , time–frequency analysis , dimension (graph theory) , window function , mathematics , variable (mathematics) , fourier transform , divergence (linguistics) , frame (networking) , fourier analysis , computer vision , filter (signal processing) , physics , mathematical analysis , linguistics , eigenvalues and eigenvectors , philosophy , telecommunications , quantum mechanics , pure mathematics , programming language