Results 31 to 40 of about 99,307 (266)
Quantum Information Processing, 2017 We propose a method for stably removing noise from measurements of a quantum many-body system. The question is cast to a linear inverse problem by using a quantum Fischer information metric as figure of merit. This requires the ability to compute the adjoint of the noise channel with respect to the metric, which can be done analytically when the metric
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Frontiers in Neuroscience, 2017 Psychophysiological interaction (PPI) is a regression based method to study task modulated brain connectivity. Despite its popularity in functional MRI (fMRI) studies, its reliability and reproducibility have not been evaluated.
Xin Di, Bharat B. Biswal
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Evaluation and Interpretation of Transcriptome Data Underlying Heterogeneous Chronic Obstructive Pulmonary Disease [PDF]
Genomics & Informatics, 2019 Chronic obstructive pulmonary disease (COPD) is a type of progressive lung disease, featured by airflow obstruction. Recently, a comprehensive analysis of the transcriptome in lung tissue of COPD patients was performed, but the heterogeneity of the ...
Seokjin Ham, Yeon-Mok Oh, Tae-Young Roh
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地球与行星物理论评, 2022 Studying the structures, properties and origins of the Earth's internal discontinuities is an important part in the efforts to understand the physical and chemical properties of the layered Earth, as well as to explore the dynamic processes and driving ...
Ling Chen +4 more
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SPIE Proceedings, 2012 In this paper we present a new approach to deblur the effect of atmospheric turbulence in the case of long range imaging. Our method is based on an analytical formulation, the Fried kernel, of the atmosphere modulation transfer function (MTF) and a framelet based deconvolution algorithm.
Jérôme Gilles, Stanley J. Osher
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Regression‐assisted deconvolution [PDF]
Statistics in Medicine, 2011 AbstractWe present a semi‐parametric deconvolution estimator for the density function of a random variable biX that is measured with error, a common challenge in many epidemiological studies. Traditional deconvolution estimators rely only on assumptions about the distribution of X and the error in its measurement, and ignore information available in ...
Julie, McIntyre, Leonard A, Stefanski
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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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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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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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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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