Bayesian deconvolution

Cynthia Rhode; Scott Whittenburg

doi:10.1080/00387019308011596

Bayesian deconvolution

Cynthia Rhode
, Scott Whittenburg

Office of Research and Creative Scholarship

University of New Orleans

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

4 Scopus citations

Abstract

Bayesian probability has been applied to the problem of estimating the true spectral lineshape from an experimental peak with prior knowledge of the instrumental contribution. The results demonstrate that Bayesian deconvolution provides excellent estimates of the parameters defining the true spectral lineshape even from strongly overlapping or broadened peaks in the presence of significant noise levels.

Original language	English
Pages (from-to)	1085-1102
Number of pages	18
Journal	Spectroscopy Letters
Volume	26
Issue number	6
DOIs	https://doi.org/10.1080/00387019308011596
State	Published - Jul 1 1993

Keywords

Bayesian probability
Deconvolution

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10.1080/00387019308011596

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title = "Bayesian deconvolution",

abstract = "Bayesian probability has been applied to the problem of estimating the true spectral lineshape from an experimental peak with prior knowledge of the instrumental contribution. The results demonstrate that Bayesian deconvolution provides excellent estimates of the parameters defining the true spectral lineshape even from strongly overlapping or broadened peaks in the presence of significant noise levels.",

keywords = "Bayesian probability, Deconvolution",

author = "Cynthia Rhode and Scott Whittenburg",

year = "1993",

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T1 - Bayesian deconvolution

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AU - Whittenburg, Scott

PY - 1993/7/1

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N2 - Bayesian probability has been applied to the problem of estimating the true spectral lineshape from an experimental peak with prior knowledge of the instrumental contribution. The results demonstrate that Bayesian deconvolution provides excellent estimates of the parameters defining the true spectral lineshape even from strongly overlapping or broadened peaks in the presence of significant noise levels.

AB - Bayesian probability has been applied to the problem of estimating the true spectral lineshape from an experimental peak with prior knowledge of the instrumental contribution. The results demonstrate that Bayesian deconvolution provides excellent estimates of the parameters defining the true spectral lineshape even from strongly overlapping or broadened peaks in the presence of significant noise levels.

KW - Bayesian probability

KW - Deconvolution

UR - https://www.scopus.com/pages/publications/9344266559

U2 - 10.1080/00387019308011596

DO - 10.1080/00387019308011596

M3 - Article

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VL - 26

SP - 1085

EP - 1102

JO - Spectroscopy Letters

JF - Spectroscopy Letters

IS - 6

ER -

Bayesian deconvolution

Abstract

Keywords

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