The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

We investigate the approximation ability of a multi layer perceptron (MLP) network when it is
extended to the complex domain. The main challenge for processing complex data with …

In order to correct non-linearities due to High Power Amplifiers (HPA) operating near
saturation in telecommunication transceivers, a new adaptive predistortion system based on …

In this paper, a novel methodology for post manufacture tuning of RF circuits is presented.
The procedure uses an iterative test-tune-test algorithm that applies a compact alternative …

In this paper, we present an adaptive predistortion technique for a regenerative satellite
downlink with a 100 Mbits/s data rate. This link consists of an I/Q 16-QAM modulator …

In any conditions where DC and RF power are at a prime, such as in satellite systems,
transmit amplifiers are operated close to the saturation region to maximize both output …

Neural networks (NN) are now widely used and known to solve recognition and
classification problems. The paper aims at showing how their learning capability can be …

Comme toutes modulations multiporteuses, l'OFDM souffre d'une forte variation d'amplitudes
qui se traduit par un PAPR élevé. Cette caractéristique de l'OFDM la rend très sensible aux …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

This paper proposes a novel on-line method to predistort the nonlinear high power amplifier
(HPA) on-board the satellite by neural networks (NN). The proposed method consists of two …