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Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy
Dept. of IT, Uppsala University.
Dept. of IT, Uppsala University.
University of Florida.
Lund University.
Show others and affiliations
2010 (English)In: Journal of magnetic resonance, ISSN 1090-7807, E-ISSN 1096-0856, Vol. 203, no 1, 167-176 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2010. Vol. 203, no 1, 167-176 p.
Keyword [en]
Missing data, Spectral estimation, Nonparametric spectral estimation, Irregularly sampled data, Spectroscopic techniques
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:kth:diva-47541DOI: 10.1016/j.jmr.2009.12.015ISI: 000274921000019OAI: oai:DiVA.org:kth-47541DiVA: diva2:455630
Note
QC 20111116Available from: 2011-11-10 Created: 2011-11-10 Last updated: 2017-12-08Bibliographically approved

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