Results 21 to 30 of about 241,357 (270)
Prediction of extreme cargo ship panel stresses by using deconvolution
Frontiers in Mechanical Engineering, 2022 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
doaj +1 more source
Variational semi-blind sparse deconvolution with orthogonal kernel bases and its application to MRFM [PDF]
, 2013 We present a variational Bayesian method of joint image reconstruction and point spread function (PSF) estimation when the PSF of the imaging device is only partially known.
Almeida +39 more
core +5 more sources
Molecules, 2022 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
doaj +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
core +3 more sources
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
doaj +1 more source
Localized spherical deconvolution [PDF]
, 2011 We provide a new algorithm for the treatment of the deconvolution problem on the sphere which combines the traditional SVD inversion with an appropriate thresholding technique in a well chosen new basis.
Kerkyacharian, Gérard +2 more
core +3 more sources
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
doaj +1 more source
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
doaj +1 more source
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
Basis Pursuit Receiver Function [PDF]
, 2014 Receiver functions (RFs) are derived by deconvolution of the horizontal (radial or transverse) component of ground motion from the vertical component, which segregates the PS phases. Many methods have been proposed to employ deconvolution in frequency as
Biswas, Reetam +3 more
core +1 more source