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Title: An Expectation-Maximization Algorithm for Amplitude Estimation of Saturated Optical Transient Signals.

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.

Authors:
 [1];  [2]
  1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
  2. Georgia Inst. of Technology, Atlanta, GA (United States)
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)
OSTI Identifier:
1429728
Report Number(s):
SAND2017-13806J
659680
DOE Contract Number:
AC04-94AL85000
Resource Type:
Program Document
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING

Citation Formats

Kagie, Matthew J., and Lanterman, Aaron D.. An Expectation-Maximization Algorithm for Amplitude Estimation of Saturated Optical Transient Signals.. United States: N. p., 2017. Web.
Kagie, Matthew J., & Lanterman, Aaron D.. An Expectation-Maximization Algorithm for Amplitude Estimation of Saturated Optical Transient Signals.. United States.
Kagie, Matthew J., and Lanterman, Aaron D.. Fri . "An Expectation-Maximization Algorithm for Amplitude Estimation of Saturated Optical Transient Signals.". United States. doi:.
@article{osti_1429728,
title = {An Expectation-Maximization Algorithm for Amplitude Estimation of Saturated Optical Transient Signals.},
author = {Kagie, Matthew J. and Lanterman, Aaron D.},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Fri Dec 01 00:00:00 EST 2017},
month = {Fri Dec 01 00:00:00 EST 2017}
}

Program Document:
Other availability
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