Results 31 to 40 of about 246,146 (289)
A Practical Approach to FMCW Radar Deconvolution in the Sea Ice Domain
IEEE AccessThis paper presents a practical step-by-step approach to Frequency Modulated Continuous Wave (FMCW) radar nonlinearity correction (deconvolution), utilizing surface-based Ku- and Ka-band radar data collected over nilas ice within a newly-opened sea ice ...
Thomas Newman +10 more
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A neural network approach for the blind deconvolution of turbulent flows
, 2017 We present a single-layer feedforward artificial neural network architecture trained through a supervised learning approach for the deconvolution of flow variables from their coarse grained computations such as those encountered in large eddy simulations.
Maulik, Romit, San, Omer
core +1 more source
Blind deconvolution of sparse pulse sequences under a minimum distance constraint: a partially collapsed Gibbs sampler method [PDF]
, 2012 For blind deconvolution of an unknown sparse sequence convolved with an unknown pulse, a powerful Bayesian method employs the Gibbs sampler in combination with a Bernoulli–Gaussian prior modeling sparsity.
Dobigeon, Nicolas +3 more
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Method of multilayer object sectioning based on a light scattering model
Компьютерная оптика, 2023 We discuss a problem of reconstructing (sectioning) multilayer object images in observed images obtained by focusing the imaging system on each layer and containing spurious blurry images of neighboring layers.
S.D. Bazhitov +3 more
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OncoImmunology, 2019 Renal clear cell carcinoma (RCC) is the most common type of kidney cancer and has a high propensity for metastasis. While treatment with immune checkpoint inhibitors, such as anti-PD-1, have shown modest improvements in survival for RCC, it is difficult ...
Yasmin Kamal +3 more
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Advances in Electrical and Computer Engineering, 2020 This study proposes an improved edge refinement filter with entropy feedback measurement for locating an optimal region of interest (ROI) in blurry images.
MOHD SHAPRI, A. H., ABDULLAH, M. Z.
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Ground Target Detection and Damage Assessment by Patrol Missiles Based on YOLO-VGGNet
Applied Sciences, 2022 Patrol missiles are a common type of unmanned aerial vehicle, which can be efficiently used for reconnaissance and sensing. In this work, target detection and the damage assessment of typical mobile ground targets by patrol missiles are studied, and a ...
Yibo Xu +5 more
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A Framework for Fast Image Deconvolution with Incomplete Observations
, 2016 In image deconvolution problems, the diagonalization of the underlying operators by means of the FFT usually yields very large speedups. When there are incomplete observations (e.g., in the case of unknown boundaries), standard deconvolution techniques ...
Almeida, Luis B. +3 more
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Digital holographic particle measurement based on normalized deconvolution
Nihon Kikai Gakkai ronbunshu, 2015 This paper presents a normalized deconvolution approach for a digital holographic particle measurement in order to decrease the elongation of the reconstructed particles along the depth direction.
Yuto ASAI +2 more
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Sensors, 2022 One common issue of object detection in aerial imagery is the small size of objects in proportion to the overall image size. This is mainly caused by high camera altitude and wide-angle lenses that are commonly used in drones aimed to maximize the ...
Mahdi Maktab Dar Oghaz +2 more
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