Blind deconvolution by simple adaptive activation function neuron

@article{Fiori2002BlindDB,
  title={Blind deconvolution by simple adaptive activation function neuron},
  author={Simone G. O. Fiori},
  journal={Neurocomputing},
  year={2002},
  volume={48},
  pages={763-778}
}
The ‘Bussgang’ algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the source signal that requires the prior knowledge of the source statistics as well as the deconvolution noise characteristics. In this paper, we propose to implement the estimator with a simple adaptive activation function neuron, whose activation function is endowed with one learnable parameter; in this way, the algorithm does… CONTINUE READING