Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties

David Svedberg, Filip Elvander, Andreas Jakobsson

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

Abstrakti

In this work, we introduce a novel approach for determining a joint sparse spectrum from several non-uniformly sampled data sets, where each data set is assumed to have its own, and only partially known, sampling times. The problem originates in paleoclimatology, where each data point derives from a separate ice core measurement, resulting in that even though all measurements reflect the same periodicities, the sampling times and phases differ among the data sets, with the sampling times being only approximately known. The proposed estimator exploits all available data using a sparse reconstruction framework allowing for a reliable and robust estimation of the underlying periodicities. The performance of the method is illustrated using both simulated and measured ice core data sets.
AlkuperäiskieliEnglanti
OtsikkoICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
KustantajaIEEE
Sivut5737-5741
Sivumäärä5
ISBN (elektroninen)978-1-6654-0540-9
ISBN (painettu)978-1-6654-0541-6
DOI - pysyväislinkit
TilaJulkaistu - 27 toukok. 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaIEEE International Conference on Acoustics, Speech, and Signal Processing - Singapore, Singapore
Kesto: 23 toukok. 202227 toukok. 2022

Julkaisusarja

NimiIEEE International Conference on Acoustics, Speech and Signal Processing
ISSN (painettu)1520-6149
ISSN (elektroninen)2379-190X

Conference

ConferenceIEEE International Conference on Acoustics, Speech, and Signal Processing
LyhennettäICASSP
Maa/AlueSingapore
KaupunkiSingapore
Ajanjakso23/05/202227/05/2022

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