2020-07-03T20:29:34Z
http://oa.upm.es/cgi/oai2
oai:oa.upm.es:5092
2016-04-20T14:02:59Z
7374617475733D707562
7375626A656374733D74656C65636F6D756E69636163696F6E6573
747970653D61727469636C65
Analysis of the Error Signal of the LMS Algorithm.
Hernandez Perdomo, Wilmar
Domínguez Jiménez, María Elena
Sansigre Vidal, Gabriela
Telecommunications
An analysis of the error signal of the Least-Mean- Square (LMS) algorithm is conducted from the robust control theory viewpoint. The difference equation that relates the input of the LMS algorithm and the error signal is presented. This equation is used to build the matrix that maps the input vector to the error vector. It is shown that has at least one singular value greater than 1. Therefore, the system may amplify noise at high frequencies. Nevertheless, the tap-weight vector may be chosen to prevent that noise amplification and improve the disturbance rejection performance of the LMS algorithm.
E.U.I.T. Telecomunicación (UPM)
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
2010-03
info:eu-repo/semantics/article
Article
IEEE Signal Processing Letters, ISSN 1070-9908, 2010-03, Vol. 17, No. 3
PeerReviewed
application/pdf
eng
http://www.signalprocessingsociety.org/publications/periodicals/letters/
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/altIdentifier/doi/10.1109/LSP.2009.2037533
http://oa.upm.es/5092/