Sparse Estimation Of Spectroscopic Signals
Adalbjörnsson, Stefan Ingi LU and Jakobsson, Andreas LU
(2011)
19th European Signal Processing Conference, EUSIPCO 2011
2011.
p.333-337
- Abstract
- This work considers the semi-parametric estimation of sparse spec-
troscopic signals, aiming to form a detailed spectral representation
of both the frequency content and the spectral line widths of the oc-
curring signals. Extending on the recent FOCUSS-based SLIM al-
gorithm, we propose an alternative prior for a Bayesian formulation
of this sparse reconstruction method, exploiting a proposed suitable
prior for the noise variance. Examining three common models for
spectroscopic signals, the introduced technique allows for reliable
estimation of the characteristics of these models. Numerical sim-
ulations illustrate the improved performance of the proposed... (More) - This work considers the semi-parametric estimation of sparse spec-
troscopic signals, aiming to form a detailed spectral representation
of both the frequency content and the spectral line widths of the oc-
curring signals. Extending on the recent FOCUSS-based SLIM al-
gorithm, we propose an alternative prior for a Bayesian formulation
of this sparse reconstruction method, exploiting a proposed suitable
prior for the noise variance. Examining three common models for
spectroscopic signals, the introduced technique allows for reliable
estimation of the characteristics of these models. Numerical sim-
ulations illustrate the improved performance of the proposed tech-
nique. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/2167567
- author
- Adalbjörnsson, Stefan Ingi
LU
and Jakobsson, Andreas
LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- European Signal Processing Conference
- volume
- 2011
- pages
- 5 pages
- publisher
- European Association for Signal Processing (EURASIP)
- conference name
- 19th European Signal Processing Conference, EUSIPCO 2011
- conference location
- Barcelona, Spain
- conference dates
- 2011-08-29 - 2011-09-02
- external identifiers
-
- scopus:84863763594
- ISSN
- 2219-5491
- language
- English
- LU publication?
- yes
- id
- 13dc2644-e037-4cd7-b553-510d6866b6ea (old id 2167567)
- alternative location
- http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569427089.pdf
- date added to LUP
- 2016-04-01 13:18:44
- date last changed
- 2022-01-27 18:29:52
@inproceedings{13dc2644-e037-4cd7-b553-510d6866b6ea,
abstract = {{This work considers the semi-parametric estimation of sparse spec-<br/><br>
troscopic signals, aiming to form a detailed spectral representation<br/><br>
of both the frequency content and the spectral line widths of the oc-<br/><br>
curring signals. Extending on the recent FOCUSS-based SLIM al-<br/><br>
gorithm, we propose an alternative prior for a Bayesian formulation<br/><br>
of this sparse reconstruction method, exploiting a proposed suitable<br/><br>
prior for the noise variance. Examining three common models for<br/><br>
spectroscopic signals, the introduced technique allows for reliable<br/><br>
estimation of the characteristics of these models. Numerical sim-<br/><br>
ulations illustrate the improved performance of the proposed tech-<br/><br>
nique.}},
author = {{Adalbjörnsson, Stefan Ingi and Jakobsson, Andreas}},
booktitle = {{European Signal Processing Conference}},
issn = {{2219-5491}},
language = {{eng}},
pages = {{333--337}},
publisher = {{European Association for Signal Processing (EURASIP)}},
title = {{Sparse Estimation Of Spectroscopic Signals}},
url = {{http://www.eurasip.org/Proceedings/Eusipco/Eusipco2011/papers/1569427089.pdf}},
volume = {{2011}},
year = {{2011}},
}