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- W2142043019 abstract "The problem of adapting linear multi-input-multi-output systems for unsupervised separation of linear mixtures of sources arises in a number of applications in multiuser wireless communications, such as mobile telephony. In this paper we propose a new statistical criterion to adapt the separating system. It involves the well-known Godard criterion as part of it and is interpreted by information theory as the maximization of information transfer in a single layer nonlinear neural network. The proposed criterion is free from undesirable stationary points provided that the signals to be separated have negative kurtosises, which is the case in communications." @default.
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- W2142043019 date "2002-11-22" @default.
- W2142043019 modified "2023-09-26" @default.
- W2142043019 title "Maximizing the information transfer for adaptive unsupervised source separation" @default.
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- W2142043019 doi "https://doi.org/10.1109/spawc.1997.630067" @default.
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