Results 31 to 40 of about 243,107 (270)
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.
Bény, Cédric
core +2 more sources
Rapid deconvolution of low-resolution time-of-flight data using Bayesian inference [PDF]
The deconvolution of low-resolution time-of-flight data has numerous advantages, including the ability to extract additional information from the experimental data.
Bernardo J. M. +7 more
core +2 more sources
Approximate Deconvolution Discretisation
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A. Boguslawski +2 more
openaire +2 more sources
Method of multilayer object sectioning based on a light scattering model
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
doaj +1 more source
Deconvolution with correct sampling [PDF]
A new method for improving the resolution of astronomical images is presented. It is based on the principle that sampled data cannot be fully deconvolved without violating the sampling theorem.
F. Courbin +9 more
core +4 more sources
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
doaj +1 more source
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.
doaj +1 more source
Ground Target Detection and Damage Assessment by Patrol Missiles Based on YOLO-VGGNet
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
doaj +1 more source
Blind Hierarchical Deconvolution [PDF]
Deconvolution is a fundamental inverse problem in signal processing and the prototypical model for recovering a signal from its noisy measurement. Nevertheless, the majority of model-based inversion techniques require knowledge on the convolution kernel to recover an accurate reconstruction and additionally prior assumptions on the regularity of the ...
Arjas, A. (A.) +3 more
openaire +3 more sources
Digital holographic particle measurement based on normalized deconvolution
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
doaj +1 more source

