Digital predistortion (DPD) is the linearization technique most often used to cope with the
inherent tradeoff between linearity and efficiency in power amplifiers (PAs). Adaptation is …

Memory effects of radio frequency power amplifiers (PAs) can interact with dynamic
transmitting signals, dynamic operations, and dynamic environment, resulting in complicated …

This paper presents an estimation/adaptation method based on the adaptive principal
component analysis (APCA) technique to guarantee the identification of the minimum …

This chapter is devoted to the use of machine learning (ML) algorithms in digital front‐end
(DFE) with the emphasis on crest factor reduction techniques, digital predistortion (DPD) …

This paper presents a new technique that dynamically estimates and updates the
coefficients of a digital predistorter (DPD) for power amplifier (PA) linearization. The …

In this paper, a novel recursive pre-distorter design to minimize the hardware requirements
for digital pre-distortion is proposed. The proposed structure is modular and can be adapted …

In this paper, a pruning method based on the least absolute shrinkage and selection
operator (LASSO) regression is proposed for pruning the redundant terms of the generalized …

In wide-band digital predistortion linearizers, the number of coefficients of a simplified
Volterra polynomial model required to model memory effects can increase dramatically …

Modern communication systems often require digital predistorters (DPDs), advanced signal-
processing units, to satisfy stringent demands on transmitter linearity and efficiency …

Three-layer perceptron (TLP) is one of the approaches to the behavioral modeling of radio
frequency (RF) power amplifiers (PAs) for wireless communication systems. A low-pass …