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Published in 2021 at "Journal of Infrared, Millimeter, and Terahertz Waves"
DOI: 10.1007/s10762-021-00796-5
Abstract: We introduce a generalized extrapolation framework as a constrained optimization problem to enhance the resolution in terahertz digital in-line holography. The alternating minimization method is employed to iteratively extrapolate the hologram beyond the actually detecting…
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Keywords:
resolution;
sparsity based;
extrapolation;
line holography ... See more keywords
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Published in 2022 at "Robotica"
DOI: 10.1017/s0263574722000285
Abstract: Abstract As an important part of the manufacturing industry, redundant robots can undertake heavy and tough tasks, which human operators are difficult to sustain. Such onerous and repetitive industrial manipulations, that is, positioning and carrying,…
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Keywords:
method fault;
fault;
fault tolerant;
sparsity based ... See more keywords
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Published in 2017 at "Electronics Letters"
DOI: 10.1049/el.2017.0469
Abstract: To tackle the problem of the uncertainty of EM wave propagation velocity in the subsurface medium, a novel sparsity-based autofocusing imaging method for stepped frequency continuous wave ground penetrating radar system is proposed. On the…
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Keywords:
uncertainty;
autofocusing imaging;
velocity;
method ... See more keywords
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Published in 2019 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2019.1685717
Abstract: ABSTRACT In this paper, a patch-wise manner based on the sparsity is proposed to fuse a panchromatic (PAN) image and a low resolution multispectral (LMS) image. In the sparsity-based pansharpening methods, improving the training process…
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Keywords:
image;
fusion;
paper;
method ... See more keywords
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Published in 2018 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2017.2771783
Abstract: Neural activities recorded using electroencephalography (EEG) are mostly contaminated with eye blink (EB) artifact. This results in undesired activation of brain–computer interface (BCI) systems. Hence, removal of EB artifact is an important issue in EEG…
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Keywords:
sparsity based;
eeg signals;
eye blink;
sparsity ... See more keywords
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Published in 2019 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2019.2902430
Abstract: Hyperspectral imagery (HSI) with a high spectral resolution contains hundreds and even thousands of spectral bands, and conveys abundant spectral information, which provides a unique advantage for target detection. A number of classical target detectors…
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Keywords:
target detection;
sparsity based;
model;
target ... See more keywords
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Published in 2017 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2017.2714938
Abstract: We present a novel sparsity-based space-time adaptive processing (STAP) technique based on the alternating direction method to overcome the severe performance degradation caused by array gain/phase (GP) errors. The proposed algorithm reformulates the STAP problem…
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Keywords:
alternating direction;
direction method;
gain phase;
sparsity based ... See more keywords
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Published in 2019 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2019.2910377
Abstract: Video saliency detection aims to continuously discover the motion-related salient objects from the video sequences. Since it needs to consider the spatial and temporal constraints jointly, video saliency detection is more challenging than image saliency…
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Keywords:
video;
sparsity based;
video saliency;
saliency ... See more keywords
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Published in 2018 at "Optics letters"
DOI: 10.1364/ol.43.002221
Abstract: Delay-and-sum beamforming (DSB) of photoacoustic data does not incorporate a priori spatial sparsity of the imaging target. By incorporating this information into beamforming for limited-view photoacoustic computed tomography, we experimentally obtained enhanced resolution images of…
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Keywords:
computed tomography;
scattering medium;
view photoacoustic;
limited view ... See more keywords
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Published in 2020 at "PLoS ONE"
DOI: 10.1371/journal.pone.0225397
Abstract: Wearable electronics capable of recording and transmitting biosignals can provide convenient and pervasive health monitoring. A typical EEG recording produces large amount of data. Conventional compression methods cannot compress date below Nyquist rate, thus resulting…
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Keywords:
sparsity based;
algorithm;
double temporal;
based reconstruction ... See more keywords