Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Non-Parametric Data-Dependent Estimation of Specroscopic Echo-Train Signals

Kronvall, Ted LU ; Swärd, Johan LU and Jakobsson, Andreas LU orcid (2013) The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013) p.6259-6263
Abstract
This paper proposes a novel non-parametric estimator for spectroscopic echo-train signals, termed ETCAPA, to be used as a robust and reliable first-approach-technique for new, unknown, or partly disturbed substances. Exploiting the complete echo structure for the signal of interest, the method reliably estimates all parameters of interest, enabling initial estimates for the identification procedure to follow. Extending the recent dCapon and dAPES algorithms, ETCAPA exploits a data-dependent filter-bank formulation together with a non-linear minimization to give a hitherto unobtained non-parametric estimate of the echo train decay. The proposed estimator is evaluated on both simulated and measured NQR signals, clearly showing the excellent... (More)
This paper proposes a novel non-parametric estimator for spectroscopic echo-train signals, termed ETCAPA, to be used as a robust and reliable first-approach-technique for new, unknown, or partly disturbed substances. Exploiting the complete echo structure for the signal of interest, the method reliably estimates all parameters of interest, enabling initial estimates for the identification procedure to follow. Extending the recent dCapon and dAPES algorithms, ETCAPA exploits a data-dependent filter-bank formulation together with a non-linear minimization to give a hitherto unobtained non-parametric estimate of the echo train decay. The proposed estimator is evaluated on both simulated and measured NQR signals, clearly showing the excellent performance of the method, even in the case of strong interferences. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Nuclear Quadrupole Resonance, echo- train signals, radio-frequency spectroscopy, non-parametric estimation, filter-bank methods.
host publication
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
The 38th International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013)
conference location
Vancouver, Canada
conference dates
2013-05-26 - 2013-05-31
external identifiers
  • wos:000329611506084
  • scopus:84890515350
ISSN
1520-6149
DOI
10.1109/ICASSP.2013.6638869
language
English
LU publication?
yes
id
7ca10de6-8670-460f-9a81-8dbeb8605f9d (old id 3611563)
date added to LUP
2016-04-01 15:05:51
date last changed
2022-01-28 04:32:02
@inproceedings{7ca10de6-8670-460f-9a81-8dbeb8605f9d,
  abstract     = {{This paper proposes a novel non-parametric estimator for spectroscopic echo-train signals, termed ETCAPA, to be used as a robust and reliable first-approach-technique for new, unknown, or partly disturbed substances. Exploiting the complete echo structure for the signal of interest, the method reliably estimates all parameters of interest, enabling initial estimates for the identification procedure to follow. Extending the recent dCapon and dAPES algorithms, ETCAPA exploits a data-dependent filter-bank formulation together with a non-linear minimization to give a hitherto unobtained non-parametric estimate of the echo train decay. The proposed estimator is evaluated on both simulated and measured NQR signals, clearly showing the excellent performance of the method, even in the case of strong interferences.}},
  author       = {{Kronvall, Ted and Swärd, Johan and Jakobsson, Andreas}},
  booktitle    = {{Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on}},
  issn         = {{1520-6149}},
  keywords     = {{Nuclear Quadrupole Resonance; echo- train signals; radio-frequency spectroscopy; non-parametric estimation; filter-bank methods.}},
  language     = {{eng}},
  pages        = {{6259--6263}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Non-Parametric Data-Dependent Estimation of Specroscopic Echo-Train Signals}},
  url          = {{https://lup.lub.lu.se/search/files/4336426/3611572.pdf}},
  doi          = {{10.1109/ICASSP.2013.6638869}},
  year         = {{2013}},
}