Results 51 to 60 of about 1,895 (182)
ABSTRACT Behavioral models for Power Amplifier (PAs), particularly those based on Neural Networks (NNs), often suffer from high computational complexity when handling wideband signals. In this paper, we present a novel behavior model for wideband GaN PAs based on a Two‐Sided Temporal Convolutional Neural Network (TST‐CNN).
Haithem Rezgui +3 more
wiley +1 more source
For directly comparing experimental results on gas‐phase ion reactions with the predictions from quantum chemical calculations, the latter must first be converted into rate constants. This review addresses the question of whether current methods of statistical rate theory can accomplish this task reliably. Statistical rate theory has long been used for
Thomas Auth, Konrad Koszinowski
wiley +1 more source
This article proposes a deep learning (DL) approach for modeling and optimizing frequency‐doubled radio‐over‐fiber links. By collectively replacing traditional components with DL model, accurate system evaluation is achieved. Moreover, through an end‐to‐end architecture, performance optimization is accomplished.
Difei Shi +3 more
wiley +1 more source
Deep Learning Integration in PAPR Reduction in 5G Filter Bank Multicarrier Systems [PDF]
High peak-to-average power ratio (PAPR) has been a major drawback of Filter bank Multicarrier (FBMC) in the 5G system. This research aims to calculate the PAPR reduction associated with the FBMC system.
Mohamed Hussien Moharam, AYA W. wafik
doaj
ABSTRACT Papillorenal syndrome (PAPRS), or renal coloboma syndrome, is a rare autosomal dominant disorder caused by PAX2 mutations. It classically manifests with renal hypodysplasia and optic nerve anomalies. However, recent literature suggests an expanding phenotypic spectrum.
Nadira Sultana +2 more
wiley +1 more source
Research on PAPR reduction algorithm based on CWGAN-SLM for multi-wavelet OFDM system
In order to meet the demand for low peak to average ratio (PAPR) of orthogonal frequency division multiplexing (OFDM) technology in the future 6G satellite-ground integrated system, an algorithm combining selective mapping (SLM) algorithm and multi ...
Guang YANG +4 more
doaj +2 more sources
The potential gains of NOMA were evaluated in a satellite system with heterogeneous receivers, after considering the use of specific DVB‐S2X MODCODs, along with the impact of non‐linearities. It was concluded that a judicious power allocation in NOMA, jointly optimized with the IBO of the PAs, can yield significant sum‐rate gains.
Tomás Ramírez, Carlos Mosquera
wiley +1 more source
X‐ray crystallographic analysis of super‐folder green fluorescent protein (sfGFP), a common reporter protein, displaying p‐(phenylazo)‐L‐phenylalanine (Pap) at amino acid position 39 on its surface in complex with α‐cyclodextrin (α‐CD) reveals an unexpected conformation of the photoswitchable side chain and illustrates its light‐dependent ...
Andreas Eichinger +4 more
wiley +1 more source
Unified Downlink‐Uplink Waveform Optimization For MIMO‐OFDM Integrated Sensing and Communication
This paper presents a unified waveform allocation framework for downlink and uplink MIMO‐OFDM integrated sensing and communication (ISAC) systems in 6G networks. We develop five optimization schemes, including optimal‐for‐communication, optimal‐for‐sensing, and MMSE‐based joint allocation, with closed‐form expressions for spectral efficiency, sensing ...
Gujjula Ramya +2 more
wiley +1 more source
This paper presents a two‐stage genetic algorithm based waveform design framework for OFDM integrated sensing and communication (ISAC) systems. In Stage‐1, a multi‐objective genetic algorithm jointly optimizes the peak‐to‐average power ratio (PAPR) and peak sidelobe level ratio (PSLR) under forward error correction and reserved subcarrier constraints ...
Haidong Xu +6 more
wiley +1 more source

