A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation (2001)
by
Simone Fiori
| Venue: | Signal Processing |
| Citations: | 11 - 11 self |
BibTeX
@ARTICLE{Fiori01acontribution,
author = {Simone Fiori},
title = {A contribution to (neuromorphic) blind deconvolution by flexible approximated Bayesian estimation},
journal = {Signal Processing},
year = {2001},
volume = {81},
pages = {2131--2153}
}
OpenURL
Abstract
'Bussgang' deconvolution techniques for blind digital channels equalization rely on a Bayesian estimator of the source sequenc defined on the basis of channel/equalizer cascade model which involves the definition of deconvolution noise. In this paper we consider four `Bussgang' blind deconvolution algorithms for uniformly distributed source signals and investigate their numeric, performance as well as some of their analytic features. Particularlz, we show...







