Results 41 to 50 of about 31,014 (138)
Joint ML calibration and DOA estimation with separated arrays
This paper investigates parametric direction-of-arrival (DOA) estimation in a particular context: i) each sensor is characterized by an unknown complex gain and ii) the array consists of a collection of subarrays which are substantially separated from ...
Boyer, Rémy +4 more
core +3 more sources
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Transmit Array Interpolation for DOA Estimation via Tensor Decomposition in 2D MIMO Radar
In this paper, we propose a two-dimensional (2D) joint transmit array interpolation and beamspace design for planar array mono-static multiple-input-multiple-output (MIMO) radar for direction-of-arrival (DOA) estimation via tensor modeling.
Cao, Ming-Yang +2 more
core +1 more source
Performance analysis of an improved MUSIC DoA estimator [PDF]
This paper adresses the statistical performance of subspace DoA estimation using a sensor array, in the asymptotic regime where the number of samples and sensors both converge to infinity at the same rate.
Loubaton, Philippe +2 more
core +2 more sources
The power of many: when genetics met yeasts and high‐throughput
ABSTRACT In recent years, complex technological capabilities have evolved, driven by the need to solve complex and integrative biological questions through global analyses. New equipment allows the scaling up and automation of processes which previously were carried out on a very limited scale.
Víctor A. Tallada, Víctor Carranco
wiley +1 more source
A survey of Direction of Arrival estimation techniques and implementation of channel estimation based on SCME [PDF]
© 2015 IEEE. In this paper, basics of Direction of Arrival (DOA) estimation techniques were reviewed along with simulated results. It justifies the pros and cons of each technique.
Barua, S +4 more
core +1 more source
Research progress on the depth of anesthesia monitoring based on the electroencephalogram
Electroencephalogram (EEG) can noninvasive, continuous, and real‐time monitor the state of brain electrical activity, and the monitoring of EEG can reflect changes in the depth of anesthesia (DOA). The development of artificial intelligence can enable anesthesiologists to extract, analyze, and quantify DOA from complex EEG data.
Xiaolan He, Tingting Li, Xiao Wang
wiley +1 more source
ABSTRACT We examine the new energetic plasticizer 3‐(2‐(2‐(2‐azidoethoxy)ethoxy)ethoxy)‐4‐nitro‐1,2,5‐oxadiazole (NFPEG3N3), three reference compounds (BDNPA/F, Bu‐NENA, and DNDA‐57), and a plasticizer‐free control in a fixed HMX/GAP composite. NFPEG3N3 provides the strongest low‐temperature properties, yielding the lowest formulation glass transition ...
Patrick Lieber +2 more
wiley +1 more source
Compressive Sensing for MIMO Radar
Multiple-input multiple-output (MIMO) radar systems have been shown to achieve superior resolution as compared to traditional radar systems with the same number of transmit and receive antennas.
Petropulu, Athina P. +2 more
core +1 more source
Multi‐Material Droplet‐Based Hydrogel Threads for Extrusion 3D Printing
This study introduces a novel approach to produce multi‐material threads for 3D printing by precisely arranging hydrogel droplets separated by lipid bilayers. By merging the precision of inkjet printing with the scalability of extrusion printing, this method prevents cross‐contamination, maintains material control, and enables intricate designs ...
Dor Tillinger +2 more
wiley +1 more source

