Non-Parametric Data-Dependent Estimation of Specroscopic Echo-Train Signals
(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:
https://lup.lub.lu.se/record/3611563
- author
- Kronvall, Ted LU ; Swärd, Johan LU and Jakobsson, Andreas LU
- organization
- publishing date
- 2013
- 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}}, }