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Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy

Gudmundson, Erik; Stoica, Petre; Li, Jian; Jakobsson, Andreas LU ; Rowe, Michael D.; Smith, John A. S. and Ling, Jun (2010) In Journal of Magnetic Resonance 203(1). p.167-176
Abstract
The problem of estimating the spectral content of exponentially decaying signals from a set of irregularly sampled data is of considerable interest in several applications. for example in various forms of radio frequency spectroscopy. in this paper. we propose a new nonparametric iterative adaptive approach that provides a Solution to this estimation problem As opposed to commonly used methods in the field, the damping coefficient, or linewidth, is explicitly modeled. which allows for all Improved estimation performance Numerical examples Using both simulated data and data from NQR experiments Illustrate he benefits of the proposed estimator as compared to Currently available lion parametric methods (C) 2009 Elsevier Inc All rights reserved
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Spectroscopic techniques, Irregularly sampled data, Nonparametric spectral estimation, Missing data, Spectral estimation
in
Journal of Magnetic Resonance
volume
203
issue
1
pages
167 - 176
publisher
Elsevier
external identifiers
  • wos:000274921000019
  • scopus:75749098400
ISSN
1096-0856
DOI
10.1016/j.jmr.2009.12.015
language
English
LU publication?
yes
id
10f7d0e1-30f5-4c9c-88ea-86dfad371f87 (old id 1568086)
date added to LUP
2010-03-24 11:25:31
date last changed
2018-05-29 09:39:59
@article{10f7d0e1-30f5-4c9c-88ea-86dfad371f87,
  abstract     = {The problem of estimating the spectral content of exponentially decaying signals from a set of irregularly sampled data is of considerable interest in several applications. for example in various forms of radio frequency spectroscopy. in this paper. we propose a new nonparametric iterative adaptive approach that provides a Solution to this estimation problem As opposed to commonly used methods in the field, the damping coefficient, or linewidth, is explicitly modeled. which allows for all Improved estimation performance Numerical examples Using both simulated data and data from NQR experiments Illustrate he benefits of the proposed estimator as compared to Currently available lion parametric methods (C) 2009 Elsevier Inc All rights reserved},
  author       = {Gudmundson, Erik and Stoica, Petre and Li, Jian and Jakobsson, Andreas and Rowe, Michael D. and Smith, John A. S. and Ling, Jun},
  issn         = {1096-0856},
  keyword      = {Spectroscopic techniques,Irregularly sampled data,Nonparametric spectral estimation,Missing data,Spectral estimation},
  language     = {eng},
  number       = {1},
  pages        = {167--176},
  publisher    = {Elsevier},
  series       = {Journal of Magnetic Resonance},
  title        = {Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy},
  url          = {http://dx.doi.org/10.1016/j.jmr.2009.12.015},
  volume       = {203},
  year         = {2010},
}