This article introduces the deep neural network method into the field of high-dimensional
microwave modeling. Deep learning is nowadays highly successful in solving complex and …

In this article, a thorough overview of behavioral modeling and predistortion of dynamic
nonlinearities in RF PAs and transmitters was presented. The sensitivity of the DUT behavior …

This paper presents the first linear bulk CMOS power amplifier (PA) targeting low-power fifth-
generation (5G) mobile user equipment integrated phased array transceivers. The output …

Inverse modeling of microwave components plays an important role in microwave design
and diagnosis or tuning. Since the analytical function or formula of the inverse input‐output …

A comparative study of state-of-the-art behavioral models for microwave power amplifiers
(PAs) is presented in this paper. After establishing a proper definition for accuracy and …

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 …

Sex differences in physical activity (PA) through pubertal maturation and the growth spurt
are often attributed to changing interests. The contribution of sex differences in biological …

Artificial neural network technique has gained recognition as a powerful technique in
microwave modeling and design. This paper proposes a novel deep neural network …

A new Wiener-type dynamic neural network (DNN) approach for nonlinear device modeling
is proposed in this paper. The proposed analytical formulation of Wiener-type DNN structure …

Variations in the RF chain of radio transmitters caused by imperfections of manufacturing
processes can be used as a signature to uniquely associate wireless devices with a given …