| Title | Spectral estimation of irregularly sampled exponentially decaying signals with applications to RF spectroscopy |
| Authors | Erik Gudmundson, Petre Stoica, Jian Li, Andreas Jakobsson, Michael D. Rowe, John A. S. Smith, Jun Ling |
| Alternative Location | http://dx.doi.org/10.1016/j..., Restricted Access |
| Publication | Journal of Magnetic Resonance |
| Year | 2010 |
| Volume | 203 |
| Issue | 1 |
| Pages | 167 - 176 |
| Document type | Article |
| Status | Published |
| Quality controlled | Yes |
| Language | eng |
| Publisher | Academic Press Inc Elsevier Science |
| Abstract English | 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 |
| Keywords | Spectroscopic techniques, Irregularly sampled data, Nonparametric spectral estimation, Missing data, Spectral estimation, |
| ISBN/ISSN/Other | ISSN: 1090-7807 |
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