Results 71 to 80 of about 328,962 (374)

Graphene-Based Magnetically Tunable Broadband Terahertz Absorber

open access: yesIEEE Photonics Journal, 2022
This study proposes a broadband absorber based on graphene and one-dimensional photonic crystal (1DPC) to achieve magnetically tunable broadband absorption in the terahertz (THz) frequency range.
Zhenyan Wei   +4 more
doaj   +1 more source

Estimating Sparse Signals Using Integrated Wideband Dictionaries

open access: yes, 2017
In this paper, we introduce a wideband dictionary framework for estimating sparse signals. By formulating integrated dictionary elements spanning bands of the considered parameter space, one may efficiently find and discard large parts of the parameter ...
Butsenko, Maksim   +2 more
core   +1 more source

Nonlinear voltage dependence of shot noise [PDF]

open access: yes, 1999
The current noise in a multi-probe mesoscopic conductor can have a nonlinear dependence on the strength of driving bias voltage. This paper presents a theoretical formulation for the nonlinear noise spectra.
A. Kumar   +38 more
core   +2 more sources

Reduced Muscular Carnosine in Proximal Myotonic Myopathy—A Pilot 1H‐MRS Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Myotonic dystrophy type 2 (proximal myotonic myopathy, PROMM) is a progressive multisystem disorder with muscular symptoms (proximal weakness, pain, myotonia) and systemic manifestations such as diabetes mellitus, cataracts, and cardiac arrhythmias.
Alexander Gussew   +11 more
wiley   +1 more source

Multi-Target Tracking Based on High-Order Appearance Feature Fusion

open access: yesIEEE Access, 2019
Multi-target tracking (MTT) is among the fundamental problems in the field of video analysis and monitoring. In the tracking-by-detection framework, data association is one of the most important and difficult problems.
Guang Han, Yan Gao, Ning Sun
doaj   +1 more source

Cluster Content Caching: A Deep Reinforcement Learning Approach to Improve Energy Efficiency in Cell-Free Massive Multiple-Input Multiple-Output Networks

open access: yesSensors, 2023
With the explosive growth of micro-video applications, the transmission burden of fronthaul and backhaul links is increasing, and meanwhile, a lot of energy consumption is also generated.
Fangqing Tan, Yuan Peng, Qiang Liu
doaj   +1 more source

Refractory Status Epilepticus Treated With Bilateral Pulvinar Deep Brain Stimulation—A Case Study

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT New‐onset refractory status epilepticus (NORSE) arises without an identifiable cause or prior epilepsy history, with a 16%–27% mortality rate and significant long‐term neurological sequelae. Neuromodulation such as deep brain stimulation (DBS) targeting the anterior and centromedian thalamic nuclei has shown promise when the traditional ...
Mengxuan Tang   +16 more
wiley   +1 more source

Wideband, high efficiency optical modulator requires less than 10 watts drive power [PDF]

open access: yes, 1967
Wideband optical modulation system operates with less than 10-watts drive power. It consists of an optical modulator and transistorized driver that combines small cross-section potassium dideuterium phosphate crystals with laser beam-condensing optics ...
Becknell, W. E.   +2 more
core   +1 more source

Quality measurements of an UWB reduced-size CPW-fed aperture antenna [PDF]

open access: yes, 2015
The paper presents a characterization of a compact co-planar waveguide (CPW)-fed slot loaded low return loss planar printed antenna designed for wireless communication and ultra-wideband (UWB) applications. Following a review of the antenna design, which
Ammar, M.   +5 more
core   +1 more source

Hopfield Neural Networks for Online Constrained Parameter Estimation With Time‐Varying Dynamics and Disturbances

open access: yesInternational Journal of Adaptive Control and Signal Processing, EarlyView.
This paper proposes two projector‐based Hopfield neural network (HNN) estimators for online, constrained parameter estimation under time‐varying data, additive disturbances, and slowly drifting physical parameters. The first is a constraint‐aware HNN that enforces linear equalities and inequalities (via slack neurons) and continuously tracks the ...
Miguel Pedro Silva
wiley   +1 more source

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