Startseite UB

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

Theis, Fabian J. and García, G. A. (2006) On the use of sparse signal decomposition in the analysis of multi-channel surface electromyograms. Signal Processing 86 (3), pp. 603-623.

Full text not available from this repository.

at publisher (via DOI)


Abstract

The previous termdecomposition of surface electromyogramnext term data sets (s-EMG) is studied using blind source separation techniques based on sparseness; namely independent component previous termanalysis, sparsenext term nonnegative matrix factorization, and previous termsparsenext term component previous termanalysis.next term When applied to artificial previous termsignalsnext term we find ...

plus


Export bibliographical data

Item Type:Article
Date:2006
Institutions:Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Identification Number:
ValueType
10.1016/j.sigpro.2005.05.032DOI
Subjects:500 Science > 570 Life sciences
Status:Published
Refereed:Unknown
Created at the University of Regensburg:Unknown
Owner: Gertraud Kellers
Deposited On:05 Oct 2010 06:27
Last Modified:05 Oct 2010 06:27
Item ID:16929
Owner Only: item control page
  1. University

University Library

Publication Server

Contact person
Gernot Deinzer

Telefon 0941 943-2759
Contact