Partial update least-square adaptive filtering
Auteur :
Xie, Bei / Bose, Tamal
Éditeur :
Springer International Publishing AG
ISBN :
9783031005534
Date de publication :
19 mai 2014
Dimensions :
23,5 x 19,1 cm
Langue :
Anglais
Pays d'origine :
Suisse
A partial update method can reduce the adaptive algorithm complexity by updating part of the weight vector instead of the entire vector or by updating part of the time. The performance is also compared among similar PU least-squares adaptive filter algorithms, such as PU RLS, PU CG, and PU EDS.