Block-oriented nonlinear models are popular in nonlinear system identification because of
their advantages of being simple to understand and easy to use. Many different identification …

Tensor decompositions can be a powerful tool when faced with the curse of dimensionality
and have been applied in myriad applications. Their application to problems in the control …

Dear editor, This letter presents a practical industrial process identification scheme. More
specifically, to improve the identification accuracy of practical process, a decoupled …

This article presents a comprehensive survey of the literature on self-interference (SI) in long-
term evolution advanced (LTE-A) and fifth-generation (5G) new radio transceivers and …

Digital predistortion (DPD) is one of the most promising techniques for the linearization of
power amplifiers. In this overview paper, some of the most important aspects related to this …

This brief presents a novel one-step adaptive parameter estimation framework for
identification of unknown asymmetric dead-zone characteristic parameters (eg, width and …

With an incredible increase in the number of wireless devices and an ever-growing demand
for high data rates, 5G needs to provide a solution to satisfy the demand for the next decade …

Block-oriented nonlinear models are popular in nonlinear modeling because of their
advantages to be quite simple to understand and easy to use. To increase the flexibility of …

In this study, neuro‐fuzzy‐based identification procedure for Hammerstein model with
coloured noise is presented. Separable signal is used to realise the decoupling of the …

The Hammerstein model is a cascade composition of a static memoryless nonlinear function
followed by a linear time-invariant dynamical subsystem, which is capable of modeling a …