Results 1 to 10 of about 241,357 (270)
Deconvolution with Shapelets [PDF]
Astronomy & Astrophysics, 2008 We seek to find a shapelet-based scheme for deconvolving galaxy images from the PSF which leads to unbiased shear measurements. Based on the analytic formulation of convolution in shapelet space, we construct a procedure to recover the unconvolved ...
Bartelmann +13 more
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The tumor microenvironment of 14,837 breast cancers is associated with clinical outcome independently of genomic subtypes [PDF]
Cell Reports MedicineSummary: The tumor microenvironment (TME) contributes to breast cancer heterogeneity and outcome but is rarely considered in clinical decision-making. We address this gap by systematically characterizing the TME’s cellular composition to establish its ...
Kevin J. Tu +10 more
doaj +2 more sources
THE DIRECT-INVERSION DECONVOLUTION AND ITS APPLICATION IN SEISMIC DATA
JGE, 2022 Seismic traces are generated by the convolution of reflectivity and seismic wavelet. Due to limited frequency bandwidth, reflectivity can not be resolved easily.
Iktri Madrinovella, Waskito Pranowo
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Blind Deconvolution Based on Correlation Spectral Negentropy for Bearing Fault
Entropy, 2023 Blind deconvolution is a method that can effectively improve the fault characteristics of rolling bearings. However, the existing blind deconvolution methods have shortcomings in practical applications.
Tian Tian +3 more
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Molecular Therapy: Methods & Clinical Development, 2023 Cell therapy for Parkinson’s disease has experienced substantial growth in the past decades with several ongoing clinical trials. Despite increasing refinement of differentiation protocols and standardization of the transplanted neural precursors, the ...
Jana Rájová +11 more
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Sensors, 2023 Many works in the state of the art are interested in the increase of the camera depth of field (DoF) via the joint optimization of an optical component (typically a phase mask) and a digital processing step with an infinite deconvolution support or a ...
Alice Fontbonne +4 more
doaj +1 more source
Entropy, 2022 To address the difficulty of extracting the features of composite-fault signals under a low signal-to-noise ratio and complex noise conditions, a feature-extraction method based on phase-space reconstruction and maximum correlation Re’nyi entropy ...
Zhen Zhang +3 more
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Optics Express, 2012 The ability to retrieve information from different layers within a stratified sample using terahertz pulsed reflection imaging and spectroscopy has traditionally been resolution limited by the pulse width available. In this paper, a deconvolution algorithm is presented which circumvents this resolution limit, enabling deep sub-wavelength and sub-pulse ...
Gillian C. Walker +7 more
openaire +2 more sources
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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Journal of Synchrotron Radiation, 2022 Resonant inelastic X-ray scattering (RIXS) has become an important scientific tool. Nonetheless, conventional high-resolution (few hundred meV or less) RIXS measurements, especially in the soft X-ray range, require low-throughput grating spectrometers ...
Daniel J. Higley +3 more
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