DocumentCode
3240506
Title
A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network
Author
Attux, Romis R F ; de Castro, Leandro N. ; Von Zuben, Fernando J. ; Romano, João Marcos T
Author_Institution
FEEC/Unicamp, Campinas, Brazil
fYear
2003
fDate
17-19 Sept. 2003
Firstpage
839
Lastpage
848
Abstract
We propose a new paradigm for optimal blind IIR equalization using the well-known constant modulus criterion and an artificial immune network. Tests in three different scenarios reveal the efficiency of the proposal, attested by excellent global convergence rates (100% in two cases) and adaptation patterns.
Keywords
IIR filters; blind equalisers; recurrent neural nets; artificial immune network; blind IIR equalization; constant modulus criterion; Blind equalizers; Convergence; Filtering theory; IIR filters; Interference; Nonlinear filters; Poles and zeros; Process design; Proposals; 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.2003.1318083
Filename
1318083
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