A new neural network based sequence estimator in non-Gaussian noise environment

The application of neural network for sequence estimation in the presence of both impulsive noise and intersymbol interference is presented. In this estimator, a nonlinearity is embedded in the conventional steepest descent method for suppressing the impulse noise during the iteration and thus a dua...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Weng, J.F., Leung, S.H., Bi, G.G.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive noise Gaussian noise Hopfield neural networks Intelligent networks Interference Neural networks Noise shaping Recurrent neural networks Viterbi algorithm Working environment noise
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