Expectation-maximization algorithm for amplitude estimation of saturated optical transient signals

This paper addresses parameter estimation for an optical transient signal when the received data has been right-censored. We develop an expectation-maximization (EM) algorithm to estimate the amplitude of a Poisson intensity with a known shape in the presence of additive background counts, where the...

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Published inJournal of the Optical Society of America. A, Optics, image science, and vision Vol. 35; no. 7; p. 1228
Main Authors Kagie, Matthew J, Lanterman, Aaron D
Format Journal Article
LanguageEnglish
Published United States 01.07.2018
Online AccessGet full text
ISSN1084-7529
1520-8532
1520-8532
DOI10.1364/JOSAA.35.001228

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Abstract This paper addresses parameter estimation for an optical transient signal when the received data has been right-censored. We develop an expectation-maximization (EM) algorithm to estimate the amplitude of a Poisson intensity with a known shape in the presence of additive background counts, where the measurements are subject to saturation effects. We compare the results of our algorithm with those of an EM algorithm that is unaware of the censoring.
AbstractList This paper addresses parameter estimation for an optical transient signal when the received data has been right-censored. We develop an expectation-maximization (EM) algorithm to estimate the amplitude of a Poisson intensity with a known shape in the presence of additive background counts, where the measurements are subject to saturation effects. We compare the results of our algorithm with those of an EM algorithm that is unaware of the censoring.
Author Lanterman, Aaron D
Kagie, Matthew J
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BackLink https://www.ncbi.nlm.nih.gov/pubmed/30110316$$D View this record in MEDLINE/PubMed
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Snippet This paper addresses parameter estimation for an optical transient signal when the received data has been right-censored. We develop an...
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Title Expectation-maximization algorithm for amplitude estimation of saturated optical transient signals
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