On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms

DOI10.1016/j.sigpro.2005.05.032zbMath1163.94394OpenAlexW2032558759WikidataQ59682434 ScholiaQ59682434MaRDI QIDQ1027257

Fabian J. Theis, Gonzalo A. García

Publication date: 1 July 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2005.05.032

zbMATH Keywords

blind source separationindependent component analysissparse component analysissparse nonnegative matrix factorizationsurface EMG

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (2)

Robust sparse component analysis based on a generalized Hough transform ⋮ Surveying and comparing simultaneous sparse approximation (or group-lasso) algorithms

This page was built for publication: On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms