An ESPRIT-based parameter estimator for spectroscopic data
(2012) 2012 IEEE Statistical Signal Processing Workshop (SSP) p.77-80- Abstract
- The pulse spin-locking sequence is a common excitation sequence for magnetic resonance and nuclear quadrupole resonance signals, with the resulting measurement data being well modeled as a train of exponentially damped sinusoidals. In this paper, we derive an ESPRIT-based estimator for such signals, together with the corre- sponding Cramér-Rao lower bound. The proposed estimator is com- putationally efficient and only requires prior knowledge of the number of spectral lines, which is in general available in the considered applications. Numerical simulations indicate that the proposed method is close to statistically efficient, and that it offers an attractive approach for initialization of existing statistically efficient gradient or... (More)
- The pulse spin-locking sequence is a common excitation sequence for magnetic resonance and nuclear quadrupole resonance signals, with the resulting measurement data being well modeled as a train of exponentially damped sinusoidals. In this paper, we derive an ESPRIT-based estimator for such signals, together with the corre- sponding Cramér-Rao lower bound. The proposed estimator is com- putationally efficient and only requires prior knowledge of the number of spectral lines, which is in general available in the considered applications. Numerical simulations indicate that the proposed method is close to statistically efficient, and that it offers an attractive approach for initialization of existing statistically efficient gradient or search based techniques. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3167916
- author
- Gudmundson, Erik LU ; Wirfält, Petter ; Jakobsson, Andreas LU and Jansson, Magnus
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- subspace techniques, parameter estimation, damped sinusoids, multidimensional signal processing, NQR, NMR
- host publication
- 2012 IEEE Statistical Signal Processing Workshop (SSP), Proceedings of
- pages
- 4 pages
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- 2012 IEEE Statistical Signal Processing Workshop (SSP)
- conference location
- Ann Arbor, Michigan, United States
- conference dates
- 2012-08-05 - 2012-08-08
- external identifiers
-
- scopus:84868231140
- ISBN
- 978-1-4673-0183-1 (online)
- DOI
- 10.1109/SSP.2012.6319820
- language
- English
- LU publication?
- yes
- id
- c693bf31-2490-43a5-a75f-27fc7e407481 (old id 3167916)
- date added to LUP
- 2016-04-04 11:07:55
- date last changed
- 2022-02-28 19:30:26
@inproceedings{c693bf31-2490-43a5-a75f-27fc7e407481, abstract = {{The pulse spin-locking sequence is a common excitation sequence for magnetic resonance and nuclear quadrupole resonance signals, with the resulting measurement data being well modeled as a train of exponentially damped sinusoidals. In this paper, we derive an ESPRIT-based estimator for such signals, together with the corre- sponding Cramér-Rao lower bound. The proposed estimator is com- putationally efficient and only requires prior knowledge of the number of spectral lines, which is in general available in the considered applications. Numerical simulations indicate that the proposed method is close to statistically efficient, and that it offers an attractive approach for initialization of existing statistically efficient gradient or search based techniques.}}, author = {{Gudmundson, Erik and Wirfält, Petter and Jakobsson, Andreas and Jansson, Magnus}}, booktitle = {{2012 IEEE Statistical Signal Processing Workshop (SSP), Proceedings of}}, isbn = {{978-1-4673-0183-1 (online)}}, keywords = {{subspace techniques; parameter estimation; damped sinusoids; multidimensional signal processing; NQR; NMR}}, language = {{eng}}, pages = {{77--80}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{An ESPRIT-based parameter estimator for spectroscopic data}}, url = {{https://lup.lub.lu.se/search/files/5701579/3167917.pdf}}, doi = {{10.1109/SSP.2012.6319820}}, year = {{2012}}, }