Results 51 to 60 of about 1,430,561 (211)
IEEE Access, 2022 Classification of multiple drones and birds by comparing micro-Doppler (MD) signatures is a very difficult task because the MD signatures of multiple birds can contaminate the MD signature of drones, and because a single drone can yield a very similar MD
Sewon Yoon +7 more
doaj +1 more source
The Journal of Engineering, 2019 Micro-Doppler (m-D) effect is a unique signature of radar targets with micro-motion, which provides a new technique for target recognition. Passive radar based on communication signal has a great significance in detection and recognition for micro-motion
Xiao-yu Qu +3 more
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Review of micro‐Doppler signatures
IET Radar, Sonar & Navigation, 2015 Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the target other than gross translation. The small micro‐motions of a subject, and even just parts of a subject, can be observed through the micro‐Doppler signature it creates in response to an active emitter such as a radar, laser, and even acoustic emitters.
openaire +1 more source
94 GHz Doppler radar for experimental validation of small UAV micro-Doppler [PDF]
, 2022 Funding: The authors acknowledge the financial support of the Engineering and Physical Sciences Council and QinetiQ (PhD funding for MM).The micro-Doppler signature of a small unmanned aerial vehicle (UAV), resulting from the rotation of propeller blades,
Robertson, Duncan A. +2 more
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Modulation of miR‐23b Wnt/β‐catenin Axis Strengthens Endothelial Barrier Properties
Advanced Science, EarlyView.Early blood‐brain barrier (BBB) disruption contributes to stroke and CNS disease pathology. miR‐23b was identified as a regulator of BBB integrity in brain endothelial cells. Inhibition of miR‐23b enhanced barrier‐associated properties, promoted repair‐related signaling, and reduced BBB leakage in experimental stroke models, supporting further ...
Victor Anthony Martinez +16 more
wiley +1 more source
Sensors, 2021 In this paper, we propose a cooperative linear discriminant analysis (LDA)-based motion classification algorithm for distributed micro-Doppler (MD) radars which are connected to a data fusion center through the limited backhaul.
Yonggi Hong, Yunji Yang, Jaehyun Park
doaj +1 more source
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Vibrating micro-doppler signature extraction from SAR data using singular value decomposition
, 2012 The effect of target micro-motions on the Synthetic Aperture Radar signal results in micro-Doppler target signatures. These micro-Doppler signatures can be a useful source of information for target classification.
Clemente, Carmine, Soraghan, John J.
core +2 more sources
Micro-Doppler based Target Recognition with Radars: A Review
, 2021 This is a review article discussing the progress in using micro-doppler based features for target ...
Ali Hanif (11801299) +3 more
core +1 more source
Self‐Assembled Telecom Color Centers in Silicon and Their Growth Environment
Advanced Physics Research, EarlyView.Influence of the growth pressure during the formation of self‐assembled color centers in silicon grown by molecular beam epitaxy at ultra‐low temperatures on the color center's photoluminescence spectral signature. The growth pressure crucially determines color center selectivity, as evidenced by G‐centers, W‐centers, and T‐centers, matrix purity, and ...
Jacqueline Marböck +9 more
wiley +1 more source