Localizing periodicity in near-field images.

P. Fraundorf

doi:10.1103/PhysRevLett.64.1031

Localizing periodicity in near-field images.

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Physical Review Letters
Volume	64
DOIs	https://doi.org/10.1103/PhysRevLett.64.1031
State	Published - Feb 1 1990

Disciplines

Physics
Optics

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@article{d5a3430722904913aa892787fda6dfb1,

title = "Localizing periodicity in near-field images.",

author = "P. Fraundorf",

note = "Abstract: We show that Bayesian inference, like that used in statistical mechanics, can guide the systematic construction of Fourier dark-field methods for localizing periodicity in near-field (e.g. scanning-tunneling and electron-phase-contrast) images.",

year = "1990",

month = feb,

day = "1",

doi = "10.1103/PhysRevLett.64.1031",

language = "American English",

volume = "64",

journal = "Physical Review Letters",

}

TY - JOUR

T1 - Localizing periodicity in near-field images.

AU - Fraundorf, P.

N1 - Abstract: We show that Bayesian inference, like that used in statistical mechanics, can guide the systematic construction of Fourier dark-field methods for localizing periodicity in near-field (e.g. scanning-tunneling and electron-phase-contrast) images.

PY - 1990/2/1

Y1 - 1990/2/1

UR - https://arxiv.org/abs/cond-mat/9711309v1

U2 - 10.1103/PhysRevLett.64.1031

DO - 10.1103/PhysRevLett.64.1031

M3 - Article

VL - 64

JO - Physical Review Letters

JF - Physical Review Letters

ER -

Localizing periodicity in near-field images.

Disciplines

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