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Neural Networks can be used to estimate the a posteriori probabilities of the transmitted symbols in digital communication systems. In this paper we apply this property to the on-line estimation of the bit error rate (BER) in the receiver, without using any reference signal. We discuss two different approaches to BER estimation: (1) computing the a posteriori symbol probabilities from estimates of...
Combination schemes are gaining attention as an interesting way to improve adaptive filter performance. In this paper, we present some recently proposed practical schemes for convex and affine filter combination, explaining how they can be useful to overcome some of the most important limitations of conventional adaptive filters. We will also illustrate the benefits of this approach with several experiments...
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