Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions.
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Maximum-Likelihood Methods for Processing Signals From Gamma-Ray Detectors.Maximum-likelihood estimation of parameterized wavefronts from multifocal data.Inverse optical design of the human eye using likelihood methods and wavefront sensingObjective assessment of image quality. IV. Application to adaptive optics.Synthetic phase-shifting for optical testing: point-diffraction interferometry without null optics or phase shifters.List-mode MLEM Image Reconstruction from 3D ML Position Estimates.Null functions in three-dimensional imaging of alpha and beta particles.
P2860
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P2860
Maximum-likelihood methods in wavefront sensing: stochastic models and likelihood functions.
description
2007 nî lūn-bûn
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2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
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2007年论文
@zh-cn
name
Maximum-likelihood methods in ...... dels and likelihood functions.
@en
type
label
Maximum-likelihood methods in ...... dels and likelihood functions.
@en
prefLabel
Maximum-likelihood methods in ...... dels and likelihood functions.
@en
P2093
P2860
P356
P1476
Maximum-likelihood methods in ...... dels and likelihood functions.
@en
P2093
Christopher Dainty
David Lara
Harrison H Barrett
P2860
P304
P356
10.1364/JOSAA.24.000391
P577
2007-02-01T00:00:00Z