DocumentCode
1391127
Title
Reduced-complexity equaliser for nonlinear channels
Author
González-Serrano, F.J. ; Pérez-Cruz, F. ; Artés-Rodríguez, A.
Author_Institution
ETSI Telecomunicacion, Vigo Univ., Spain
Volume
34
Issue
9
fYear
1998
fDate
4/30/1998 12:00:00 AM
Firstpage
856
Lastpage
858
Abstract
The generalised cerebellar model arithmetic computer (GCMAC) network is applied to the problem of adaptive equalisation of nonlinear channels. The GCMAC-based equaliser is compared with other well-known structures such as the Volterra filter and the multi-layer perceptron. The results obtained show the effectiveness of the proposed structure for compensating strong nonlinearities
Keywords
adaptive equalisers; decision feedback equalisers; telecommunication channels; GCMAC-based equaliser; adaptive equalisation; generalised cerebellar model arithmetic computer network; nonlinear channels; reduced-complexity equaliser;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19980618
Filename
682809
Link To Document