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Spectral Estimation of Damped Sinusoids in the Case of Irregularly Sampled Data
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Automatic control. Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Division of Systems and Control.
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2009 (English)In: Proceedings of the 9th International Symposium on Signals, Circuits and Systems, Iasi, Romania, July 9-10, 2009, 2009Conference paper, Published 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.

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2009.
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URN: urn:nbn:se:uu:diva-104127OAI: oai:DiVA.org:uu-104127DiVA: diva2:219370
Available from: 2009-05-27 Created: 2009-05-27 Last updated: 2009-05-27Bibliographically approved

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Gudmundson, ErikStoica, Peter

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