DocumentCode :
3240567
Title :
Unsupervised channel equalization using fuzzy prediction-error filters
Author :
Ferrari, Rafael ; Panazio, C.M. ; Attux, R.R.F. ; Cavalcante, C.C. ; de Castro, L.N. ; Von Zuben, F.J. ; Romano, J.M.T.
Author_Institution :
State Univ. of Campinas, Brazil
fYear :
2003
fDate :
17-19 Sept. 2003
Firstpage :
869
Lastpage :
878
Abstract :
Ee present a new paradigm for unsupervised nonlinear equalization based on prediction-error fuzzy filters. Tests in different linear channel scenarios are carried out in order to assess the performance of the equalizer. The results show that the proposal is solid and may provide a performance close to that of a Bayesian equalizer.
Keywords :
belief networks; equalisers; nonlinear filters; nonlinear network analysis; Bayesian equalizer; fuzzy prediction-error filters; linear channel scenarios; nonlinear equalization; unsupervised channel equalization; Adaptive equalizers; Art; Bayesian methods; Clustering algorithms; Communication systems; Filtering algorithms; Nonlinear filters; Proposals; Solids; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks for Signal Processing, 2003. NNSP'03. 2003 IEEE 13th Workshop on
ISSN :
1089-3555
Print_ISBN :
0-7803-8177-7
Type :
conf
DOI :
10.1109/NNSP.2003.1318086
Filename :
1318086
Link To Document :
بازگشت