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Spectral Estimation of Damped Sinusoids in the Case of Irregularly Sampled Data
Dept. of IT, Uppsala University.
University of Florida.
Dept. of IT, Uppsala University.
University of Florida.
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2009 (English)In: ISSCS 2009: INTERNATIONAL SYMPOSIUM ON SIGNALS, CIRCUITS AND SYSTEMS, 2009, 97-100 p.Conference paper (Refereed)
Abstract [en]

The problem of estimating a spectral representation of damped sinusoidal signals from a gapped data set is of considerable interest in several applications. In this paper, we propose a new iterative adaptive approach, named dIAA, that provides such an estimate also in the case of irregularly sampled data, a common scenario in, for instance, spectroscopical data measurements. Numerical examples illustrate the benefits of the proposed estimator as compared to typically used methods.

Place, publisher, year, edition, pages
2009. 97-100 p.
Keyword [en]
Adaptive approach, Damped sinusoids, Data measurements, Data sets, Numerical example, Sampled data, Sinusoidal signals, Spectral Estimation, Spectral representations, Numerical methods, Spectrum analysis
National Category
Signal Processing
URN: urn:nbn:se:kth:diva-47554DOI: 10.1109/ISSCS.2009.5206195ISI: 000275854200024ISBN: 978-1-4244-3784-9OAI: diva2:455637
International Symposium on Signals, Circuits and Systems, Iasi, ROMANIA, JUL 09-10, 2009
QC 20111116Available from: 2011-11-10 Created: 2011-11-10 Last updated: 2011-11-16Bibliographically approved

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Gudmundson, Erik
Signal Processing

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