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Sparse Estimation Of Spectroscopic Signals

Adalbjörnsson, Stefan Ingi LU and Jakobsson, Andreas LU (2011) 19th European Signal Processing Conference, EUSIPCO 2011 In European Signal Processing Conference 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:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
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
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
2011-12-22 14:46:37
date last changed
2017-04-16 03:47:07
@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},
  volume       = {2011},
  year         = {2011},
}