Results 111 to 120 of about 36,429 (287)
Compressive TDOA Estimation Method Based on Amplitude Phase Clustering in Time-Frequency Domain
In the field of signal processing, modulation signals, including phase shift keying (PSK) and quadrature amplitude modulation (QAM), can significantly enhance the signal-to-noise ratio (SNR) through aliasing transmission following clustering and sorting.
Yang Jiao +4 more
doaj +1 more source
Ergonomic Sponge Electrodes From Recycled PEDOT:PSS
ABSTRACT Emerging technologies in human–machine interfacing increasingly aim to develop solutions that naturally conform to the body's unique characteristics. Ergonomics and electrical performance in cutaneous sensing are crucial for accurate and reliable translation of biosignals.
Matías Ceballos +3 more
wiley +1 more source
High-Accuracy Radar Parameter Estimation Under Low SNR Environments
This paper proposes a high-accuracy radar parameter estimation method for extremely low signal-to-noise ratio (SNR) environments, integrating deep learning and connected component analysis (CCA). Accurate estimation of parameters such as time of arrival,
Jaehyeok Yoon +3 more
doaj +1 more source
Self‐Adhesive Conductive Elastomers for Gel‐Free Biopotential Recording
σPOMaC, a self‐adhesive conductive citrate elastomer incorporating PEDOT:PSS and DBSA, enables gel‐free biopotential electrodes with stable conductivity and intrinsic skin adhesion. The composite exhibits low resistivity (∼ 0.02 Ω·cm), robust electrical performance during repeated use, and reliable on‐body ECG acquisition comparable to Ag/AgCl ...
Kirstie M. K. Queener +7 more
wiley +1 more source
MR Optimum: A web-based open-source tool for standardized signal-to-noise ratio evaluation in MRI
Signal-to-noise ratio (SNR) is a key performance metric in magnetic resonance imaging (MRI) to evaluate pulse sequences, receive coils, and image reconstruction algorithms. A variety of methods have been proposed to estimate SNR.
Eros Montin +2 more
doaj +1 more source
Cavity Microelectrode Arrays for Electrical Recordings From Neurons
Microelectrode arrays (MEAs) are used to study electrophysiological activity. However, their signals are small with high noise. By adding a 100‐nanometer‐high cavity above the electrode, which reduces impedance without affecting resolution, we improve signal quality.
Johannes Lewen +2 more
wiley +1 more source
Flexible tactile sensors have considerable potential for broad application in healthcare monitoring, human–machine interfaces, and bioinspired robotics. This review explores recent progress in device design, performance optimization, and intelligent applications. It highlights how AI algorithms enhance environmental adaptability and perception accuracy
Siyuan Wang +3 more
wiley +1 more source
Toward Intelligent Multimodal Holography for Real‐Time Chemical Imaging of Dynamic Ion Separation
Intelligent multimodal holography integrates digital off‐axis holography, spectroscopic imaging, and AI‐driven reconstruction to visualize ion transport and chemical dynamics in real time. In this perspective paper, we outline how this approach enables label‐free, chemically specific monitoring of complex environments and discuss its potential to ...
Giovanna Ricchiuti +3 more
wiley +1 more source
Rapid Fragment Screening by 19F Steady‐State Free Precession NMR
19F$^{19}{\rm F}$ SSFP NMR is a broadband and very sensitive experiment for detecting protein–ligand interactions. The method enables rapid fragment screening at low micromolar protein concentrations, even for challenging drug targets such as intrinsically disordered proteins.
Laura Ruduša +8 more
wiley +2 more sources
A novel SNR estimation algorithm for MB OFDM ultra wide band communications
In this paper we propose a novel signal to noise ratio algorithm based on the moments of the received signal. The novel algorithm has been designed for Multi Band Orthogonal Frequency Division Multiplexing (MB-OFDM) communication systems in ultra wide ...
Barrera, Melisa +3 more
core +1 more source

