Matrix Factorization Techniques in Machine Learning, Signal Processing, and Statistics

Compressed sensing is an alternative to Shannon/Nyquist sampling for acquiring sparse or compressible signals. Sparse coding represents a signal as a sparse linear combination of atoms, which are elementary signals derived from a predefined dictionary. Compressed sensing, sparse approximation, and d...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Ke-Lin Du, M. N. S. Swamy, Zhang-Quan Wang, Wai Ho Mow
Format:	Article
Language:	English
Published:	MDPI AG 2023-06-01
Subjects:	compressed sensing dictionary learning sparse approximation matrix completion nonnegative matrix factorization
Online Access:	https://www.mdpi.com/2227-7390/11/12/2674