Results 41 to 50 of about 205,588 (289)
Lietuvos Matematikos Rinkinys, 2016 It is assumed that linear time-invariant (LTI) system input signal samples are updated by a sensor in real time. It is urgent for every new input sample or for small part of new samples to update a convolution as well.
Rimantas Pupeikis
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A New Computational Approach to Estimate the Subdivision Depth of
IEEE Access, 2020 The $n$ -ary subdivision scheme has traditionally been designed to generate smooth curve and surface from control polygon. In this paper, we propose a new subdivision depth computation technique for $n$ -ary subdivision scheme.
Ghulam Mustafa +4 more
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Energies, 2021 This paper presents an algorithm to remove the DC drift from the B-H curve of an additively manufactured soft ferromagnetic material. The removal of DC drift from the magnetization curve is crucial for the accurate estimation of iron losses.
Bilal Asad +6 more
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Convolution operators and the discrete Laplacian [PDF]
, 2009 PhDIn this thesis, we obtain new results for convolution operators on homogeneous spaces and give applications to the Laplacian on a homogeneous graph. Some of these results have been published in joint papers [13, 14] with my supervisor.
Chen, Chung-Chuan
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Translophagy—A potential link between autophagy impairment and translational errors
FEBS Letters, EarlyView.Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
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FEBS Letters, EarlyView.Synechocystis strains deficient in succinate dehydrogenase (SDH) secrete more succinate than the WT under dark anaerobic conditions, supporting that SDH then primarily acts as SDH, not as a fumarate reductase. L‐aspartate oxidase (Laspo) from Synechocystis is functional under anaerobic conditions, reducing fumarate to succinate.
Kateryna Kukil +3 more
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MCDC‐Net: Multi‐scale forgery image detection network based on central difference convolution
IET Image ProcessingGenerative Adversarial Networks (GANs) emerged thanks to the development of deep neural networks. Forgery images generated by various variants of GANs are widely spread on the Internet, which may be damage personal credibility and cause huge property ...
Defen He +6 more
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Convolutional Autoencoding of Small Targets in the Littoral Sonar Acoustic Backscattering Domain
Journal of Marine Science and Engineering, 2022 Automated target recognition is an important task in the littoral warfare domain, as distinguishing mundane objects from mines can be a matter of life and death.
Timothy J. Linhardt +2 more
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Spectrality of infinite convolutions and random convolutions
Journal of Functional Analysis31 pages, final ...
Wenxia Li, Jun Jie Miao, Zhiqiang Wang
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FEBS Letters, EarlyView.Which brain hemisphere controls writing? This review synthesizes all five functional transcranial Doppler studies of writing (handwriting and typing) published to date in adults and children. Right‐handers show left‐hemispheric dominance for the linguistic component of writing (written word generation), whereas findings for left‐handers remain ...
Marietta Papadatou‐Pastou
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