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- W763837984 abstract "This paper presents a comparative study between two kind of digital predistorters in terms of accuracy and time of convergence of their adaptive algorithms. Both predistorters are based on Hammerstein models in order to take into account power amplifier memory effects. The comparison will consist in evaluating the suitability of a kind of Fast-Kalman and the LMS adaptive algorithms to identify the Hammerstein model coefficients of the predistorter. First, some general concepts of the Hammerstein models are presented, as well as the indirect learning architecture used to train predistorter coefficients. Later some results derived from simulations are provided. Finally, the suitability for using the Fast-Kalman better than the LMS algorithm is discussed." @default.
- W763837984 created "2016-06-24" @default.
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- W763837984 date "2005-01-01" @default.
- W763837984 modified "2023-09-27" @default.
- W763837984 title "Predistorsión digital y adaptativa de amplificadores de RF con modelos de Hammerstein" @default.
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