F. Castanié

Analysis of stochastic gradient identification of Wiener-Hammerstein systems for nonlinearities with Hermite polynomial expansions

Stochastic gradient identification of polynomial Wiener systems: analysis and application

Applications of neural networks to digital communications – a survey

Behavioral modeling and predistortion

A person centered work psychology: changing paradigms by broadening horizons

An Introduction to Deep Learning for the Physical Layer

A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers

A comparative analysis of behavioral models for RF power amplifiers

Deep Reinforcement Learning Paradigm for Performance Optimization of Channel Observation–Based MAC Protocols in Dense WLANs

A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches

Neural network modeling and identification of nonlinear channels with memory: algorithms, applications, and analytic models

Neural networks for modeling nonlinear memoryless communication channels

Statistical analysis of a two-layer backpropagation algorithm used for modeling nonlinear memoryless channels: the single neuron case

Stochastic analysis of adaptive gradient identification of Wiener-Hammerstein systems for Gaussian inputs