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A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network

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4 Author(s)
Attux, R.R.F. ; FEEC/Unicamp, Campinas, Brazil ; de Castro, L.N. ; Von Zuben, F.J. ; Romano, J.M.T.

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.

Published in:

Neural Networks for Signal Processing, 2003. NNSP'03. 2003 IEEE 13th Workshop on

Date of Conference:

17-19 Sept. 2003

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