Results 21 to 30 of about 143,672 (309)
Prediction of extreme cargo ship panel stresses by using deconvolution
Extreme value predictions typically originate from certain functional classes of statistical distributions to fit the data and are subsequently extrapolated.
Oleg Gaidai, Ping Yan, Yihan Xing
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Research on deconvolution methods for thermal network of power devices
The structure function method is critical for obtaining Cauer thermal network models for power devices. However, in its deconvolution step, different calculation methods have a large impact on the results, which affects the accuracy of the thermal ...
DENG Erping +5 more
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Blind Single Channel Deconvolution using Nonstationary Signal Processing [PDF]
Blind deconvolution is fundamental in signal processing applications and, in particular, the single channel case remains a challenging and formidable problem. This paper considers single channel blind deconvolution in the case where the degraded observed
Rayner, Peter J. W. +1 more
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Gas chromatography/mass spectrometry (GC/MS) is a long-standing technique for the analysis of volatile organic compounds (VOCs). When coupled with the Ion Analytics software, GC/MS provides unmatched selectivity in the analysis of complex mixtures and it
Scott C. Frost +3 more
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Processors for ALOS Optical Data: Deconvolution, DEM Generation, Orthorectification, and Atmospheric Correction [PDF]
The German Aerospace Center (DLR) is responsible for the development of prototype processors for PRISM and AVNIR-2 data under a contract of the European Space Agency.
Schneider, Mathias +6 more
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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]
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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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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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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