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In this work, a novel deep learning (DL) architecture is introduced to deal with the channel estimation in over-the-air (OTA) fifth-generation (5G) orthogonal frequency-division multiplexing (OFDM) sc...
Radar-based object detection (OD) requires extensive pre-processing and complex Machine Learning (ML) pipelines. Previous approaches have attempted to address these challenges by processing raw radar ...
In this paper, we present a novel multifunctional filtering power divider (FPD) which is realized in coaxial technology for power combining applications. This FPD basically includes the functionality ...
This communication focuses on short-end half-wavelength four-section coaxial stepped impedance resonators (SIRs) for the design of Tx bandpass filters for space applications. This resonator, built on ...
This paper presents a current-mode logic (CML) frequency divider in a 45-nm PDSOI BiCMOS technology. The divider takes advantage of the integration platform to achieve both high frequency and low powe...
Digital Pre-Distortion (DPD) enhances signal quality in wideband RF power amplifiers (PAs). As signal bandwidths expand in modern radio systems, DPD's energy consumption increasingly impacts over...
This paper introduces a 256-arrays wirelessly powered phased-arrays transceiver with 24GHz WPT for 28GHz millimeter-wave 5G communication. The 256-elements rectifier-arrays is configured with discrete...
This work reports an artificial intelligence (AI) assisted method for implementation of multiport electromagnetic (EM) structures. Utilization of AI in mm-wave circuit design is rapidly gaining attrac...
In this study, we introduce an innovative methodology that leverages knowledge transfer from a pre-trained synthesis neural network (NN) model in one technology node and achieves swift and reliable de...
This work presents a neural network digital pre distortion optimizer combined with memory backpropagation direct learning architecture. The optimization is done by iteratively pruning low valued weigh...