Results 41 to 50 of about 9,850 (223)

PaPR Data Set

open access: yes, 2019
The PaPR data set is an important new open data set that describes the adoption of e-prescribing as measured in Part D Medicare data.The dataset, called PaPR (Providers and Prescribing Records) details how different individual prescribers deliver ...
Frederick Trotter (752177)
core   +1 more source

Synergistic Enhancement of Modified‐PVDF Humidity Sensitivity via Chemical Adsorption‐Ionic Conductivity and its Application in Intelligent Powered Air‐Purifying Respirator

open access: yesENERGY &ENVIRONMENTAL MATERIALS, Volume 9, Issue 3, May 2026.
The study developed a PVDF/SiO2 humidity sensor with superhydrophobic properties and integrated the humidity sensor into the intelligent powered air‐purifying respirator (IPAPR) for breath monitoring. Coupled with the Gated Recurrent Unit (GRU) machine learning prediction algorithm, it enables feedforward control of the fan to achieve respiratory ...
Xinjian He   +9 more
wiley   +1 more source

PAPR Reduction Scheme for OFDM

open access: yes, 2012
This paper focused on peak to average power ratio (PAPR) reduction scheme for OFDM system. OFDM has several properties which make it an attractive modulation scheme for high speed transmission. the main draw back of OFDM is high PAPR.
Gulhane, Pankaj   +2 more
core   +1 more source

Peak-to-Average Power Ratio of Multicarrier Faster-Than-Nyquist Signals: Distribution, Optimization and Reduction

open access: yesIEEE Access, 2018
Multicarrier faster-than-Nyquist (MFTN) is a spectral efficient transmission scheme for future communication systems. However, as one of the most important drawbacks of multicarrier transmission systems, the peak-to-average power ratio (PAPR) of MFTN ...
Aijun Liu   +5 more
doaj   +1 more source

A Highly Efficient Two‐Sided Temporal Convolutional Neural Network for Wideband Digital Predistortion of RF Power Amplifiers

open access: yesInternational Journal of Numerical Modelling: Electronic Networks, Devices and Fields, Volume 39, Issue 3, May/June 2026.
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

Characterization of PapR function.

open access: yes, 2015
(A) Heme- and yeast cell agglutination assays performed with UTI89/pNDM220, UTI89ΔpapR/pNDM220 and UTI89ΔpapR/pSK1 with and without the addition of α-D-mannose. Scale bars set at 50 μm.
Jakob Møller-Jensen (231833)   +3 more
core   +1 more source

PAPR of different NR systems with different QAM levels.

open access: yes, 2023
(a) PAPR comparison of F-OFDM and FPBF-OFDM. (b) PAPR comparison of FBMC (PHYDYAS) and FBMC (BINOMIAL). (c) PAPR comparison of UFMC (Chebyshev) and UFMC (FPBF).
A. K. M. Baki (15083802)
core   +1 more source

From the Modeling of Experiments to the Ab Initio Prediction of Rate Constants: Statistical Rate Theory for a Quantitative Understanding of Gas‐Phase Ion Chemistry

open access: yesChemPhysChem, Volume 27, Issue 8, 28 April 2026.
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

Data Detection and Code Channel Allocation for Frequency-Domain Spread ACO-OFDM Systems Over Indoor Diffuse Wireless Channels [PDF]

open access: yes, 2014
Future optical wireless communication systems promise to provide high-speed data transmission in indoor diffuse environments. This paper considers frequency-domain spread asymmetrically clipped optical orthogonal frequency-division multiplexing (ACOOFDM)
Chen, Ming   +4 more
core   +1 more source

Modeling and Optimization of Frequency‐Doubled Radio‐Over‐Fiber Link Based on Deep Learning Technique

open access: yesAdvanced Photonics Research, Volume 7, Issue 3, March 2026.
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

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