An Optimal Mmse Fuzzy Predictor for Siso and Mimo Blind Equalization
نویسندگان
چکیده
The present work deals with the research of optimal solutions in unsupervised and nonlinear signal processing. The proposed framework is based on nonlinear prediction, to be implemented by a fuzzy filter structure. Our main result consists in establishing the optimality of the approach by showing the equivalence between the minimum mean squared error estimator and the fuzzy predictor. The result is then applied in the contexts of SISO equalization and convolutive source separation (MIMO equalization). We also propose a strategy for the updating of the unsupervised nonlinear equalizer. Simulation results confirm the effectiveness of the proposal in SISO and MIMO scenarios.
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