Articles with "sparsity based" as a keyword



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Resolution Enhancement in Terahertz Digital In-line Holography by Sparsity-Based Extrapolation

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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… read more here.

Keywords: resolution; sparsity based; extrapolation; line holography ... See more keywords
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A sparsity-based method for fault-tolerant manipulation of a redundant robot

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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,… read more here.

Keywords: method fault; fault; fault tolerant; sparsity based ... See more keywords
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Sparsity-based SFCW-GPR autofocusing imaging method under EM wave velocity uncertainty

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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… read more here.

Keywords: uncertainty; autofocusing imaging; velocity; method ... See more keywords
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Pansharpening through an improved sparsity-based fusion method

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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… read more here.

Keywords: image; fusion; paper; method ... See more keywords
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Removal of Eye Blink Artifacts From EEG Signals Using Sparsity

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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… read more here.

Keywords: sparsity based; eeg signals; eye blink; sparsity ... See more keywords
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Target Dictionary Construction-Based Sparse Representation Hyperspectral Target Detection Methods

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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… read more here.

Keywords: target detection; sparsity based; model; target ... See more keywords
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Sparsity-Based STAP Using Alternating Direction Method With Gain/Phase Errors

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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… read more here.

Keywords: alternating direction; direction method; gain phase; sparsity based ... See more keywords
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Video Saliency Detection via Sparsity-Based Reconstruction and Propagation

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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… read more here.

Keywords: video; sparsity based; video saliency; saliency ... See more keywords
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Sparsity-based reconstruction for super-resolved limited-view photoacoustic computed tomography deep in a scattering medium.

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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… read more here.

Keywords: computed tomography; scattering medium; view photoacoustic; limited view ... See more keywords
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Accelerated sparsity based reconstruction of compressively sensed multichannel EEG signals

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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… read more here.

Keywords: sparsity based; algorithm; double temporal; based reconstruction ... See more keywords