Results 21 to 30 of about 155,072 (308)

Employing machine learning techniques in monitoring autocorrelated profiles

open access: yesNeural Computing and Applications, 2023
AbstractIn profile monitoring, it is usually assumed that the observations between or within each profile are independent of each other. However, this assumption is often violated in manufacturing practice, and it is of utmost importance to carefully consider autocorrelation effects in the underlying models for profile monitoring.
Ali Yeganeh   +4 more
openaire   +3 more sources

Confocal laser speckle autocorrelation imaging of dynamic flow in microvasculature

open access: yesOpto-Electronic Advances, 2022
Laser speckle imaging has been widely used for in-vivo visualization of blood perfusion in biological tissues. However, existing laser speckle imaging techniques suffer from limited quantification accuracy and spatial resolution.
E Du   +3 more
doaj   +1 more source

Characterization of Localized Atmospheric Turbulence Layer Using Laser Light Backscattered off Moving Target

open access: yesApplied Sciences, 2020
A concept of atmospheric turbulence characterization using laser light backscattered off a moving unresolved target or a moving target with a glint is considered and analyzed through wave-optics numerical simulations.
Victor A. Kulikov   +3 more
doaj   +1 more source

Scattering Delay Mitigation in High-accuracy Pulsar Timing: Cyclic Spectroscopy Techniques

open access: yesThe Astrophysical Journal, 2023
We simulate scattering delays from the interstellar medium to examine the effectiveness of three estimators in recovering these delays in pulsar timing data. Two of these estimators use the more traditional process of fitting autocorrelation functions to
Jacob E. Turner   +5 more
doaj   +1 more source

EXPLORATORY SPATIAL ANALYSIS OF HOUSING PRICES OBTAINED FROM WEB SCRAPING TECHNIQUE [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021
The exploratory spatial analysis allows to describe patterns of spatial distribution, to identify clusters and outliers through specific techniques of spatial association and data model. The objective of the study is to verify the spatial autocorrelation
T. G. D. Souza   +3 more
doaj   +1 more source

A recursive scheme for computing autocorrelation functions of decimated complex wavelet subbands [PDF]

open access: yes, 2010
This paper deals with the problem of the exact computation of the autocorrelation function of a real or complex discrete wavelet subband of a signal, when the autocorrelation function (or Power Spectral Density, PSD) of the signal in the time domain (or ...
Aelterman, Jan   +3 more
core   +1 more source

Two-photon absorption in microcavities for optical autocorrelation and sampling [PDF]

open access: yes, 2003
We have designed novel semiconductor microcavity structures for the enhancement of the two-photon absorption (TPA) photocurrent. We report a TPA autocorrelation technique for short optical pulses that uses the microcavity structure instead of a second ...
Barry, Liam P.   +7 more
core   +1 more source

Errors in radial velocity variance from Doppler wind lidar [PDF]

open access: yesAtmospheric Measurement Techniques, 2016
A high-fidelity lidar turbulence measurement technique relies on accurate estimates of radial velocity variance that are subject to both systematic and random errors determined by the autocorrelation function of radial velocity, the sampling rate, and ...
H. Wang   +3 more
doaj   +1 more source

Spatial Series and Fractal Analysis Associated with Fracture Behaviour of UO2 Ceramic Material

open access: yesFractal and Fractional, 2022
SEM micrographs of the fracture surface for UO2 ceramic materials have been analysed. In this paper, we introduce some algorithms and develop a computer application based on the time-series method.
Maria-Alexandra Paun   +2 more
doaj   +1 more source

Surface Orientation from Texture Autocorrelation [PDF]

open access: yes, 1989
We report on a refinement of our technique for determining the orientation of a textured surface from the two-point autocorrelation function of its image. We replace our previous assumptions of isotropic texture by knowledge of the autocorrelation moment
Brown, Lisa Gottesfeld
core   +2 more sources

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