Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy
(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:
https://lup.lub.lu.se/record/1568086
- author
- Gudmundson, Erik ; Stoica, Petre ; Li, Jian ; Jakobsson, Andreas LU ; Rowe, Michael D. ; Smith, John A. S. and Ling, Jun
- organization
- publishing date
- 2010
- 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
- Academic Press
- external identifiers
-
- wos:000274921000019
- scopus:75749098400
- pmid:20053571
- 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
- 2016-04-01 13:04:36
- date last changed
- 2022-03-13 22:01:22
@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}}, keywords = {{Spectroscopic techniques; Irregularly sampled data; Nonparametric spectral estimation; Missing data; Spectral estimation}}, language = {{eng}}, number = {{1}}, pages = {{167--176}}, publisher = {{Academic Press}}, 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}}, doi = {{10.1016/j.jmr.2009.12.015}}, volume = {{203}}, year = {{2010}}, }