Spectral Estimation of Damped Sinusoids in the Case of Irregularly Sampled Data
2009 (English)In: Proceedings of the 9th International Symposium on Signals, Circuits and Systems, Iasi, Romania, July 9-10, 2009, 2009Conference paper (Refereed)
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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IdentifiersURN: urn:nbn:se:uu:diva-104127OAI: oai:DiVA.org:uu-104127DiVA: diva2:219370