Sparse Estimation Of Spectroscopic Signals

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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 tech-
nique.

Details

Authors
Organisations
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Probability Theory and Statistics
Original languageEnglish
Title of host publicationEuropean Signal Processing Conference
PublisherEuropean Association for Signal Processing (EURASIP)
Pages333-337
Number of pages5
Volume2011
Publication statusPublished - 2011
Publication categoryResearch
Peer-reviewedYes
Event19th European Signal Processing Conference, EUSIPCO 2011 - Barcelona, Barcelona, Spain
Duration: 2011 Aug 292011 Sep 2
Conference number: 19

Publication series

Name
Volume2011
ISSN (Print)2219-5491

Conference

Conference19th European Signal Processing Conference, EUSIPCO 2011
CountrySpain
CityBarcelona
Period2011/08/292011/09/02