Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties
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...
Published in: | ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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IEEE - Institute of Electrical and Electronics Engineers Inc.
2022
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Online Access: | https://lup.lub.lu.se/record/e0afadc6-50b7-4fd1-a880-964fdcda8b79 https://doi.org/10.1109/ICASSP43922.2022.9747184 |
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ftulundlup:oai:lup.lub.lu.se:e0afadc6-50b7-4fd1-a880-964fdcda8b79 2023-05-15T16:38:48+02:00 Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties Svedberg, David Elvander, Filip Jakobsson, Andreas 2022 https://lup.lub.lu.se/record/e0afadc6-50b7-4fd1-a880-964fdcda8b79 https://doi.org/10.1109/ICASSP43922.2022.9747184 eng eng IEEE - Institute of Electrical and Electronics Engineers Inc. https://lup.lub.lu.se/record/e0afadc6-50b7-4fd1-a880-964fdcda8b79 http://dx.doi.org/10.1109/ICASSP43922.2022.9747184 ISBN: 9781665405409 scopus:85131240640 ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; 2022-May, pp 5737-5741 (2022) ISSN: 1520-6149 Mathematics Irregular Sampling Misspecified Modelling Multi-time Paleoclimatology contributiontobookanthology/conference info:eu-repo/semantics/conferencePaper text 2022 ftulundlup https://doi.org/10.1109/ICASSP43922.2022.9747184 2023-02-01T23:39:37Z 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. Conference Object ice core Lund University Publications (LUP) ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 5737 5741 |
institution |
Open Polar |
collection |
Lund University Publications (LUP) |
op_collection_id |
ftulundlup |
language |
English |
topic |
Mathematics Irregular Sampling Misspecified Modelling Multi-time Paleoclimatology |
spellingShingle |
Mathematics Irregular Sampling Misspecified Modelling Multi-time Paleoclimatology Svedberg, David Elvander, Filip Jakobsson, Andreas Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties |
topic_facet |
Mathematics Irregular Sampling Misspecified Modelling Multi-time Paleoclimatology |
description |
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. |
format |
Conference Object |
author |
Svedberg, David Elvander, Filip Jakobsson, Andreas |
author_facet |
Svedberg, David Elvander, Filip Jakobsson, Andreas |
author_sort |
Svedberg, David |
title |
Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties |
title_short |
Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties |
title_full |
Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties |
title_fullStr |
Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties |
title_full_unstemmed |
Determining Joint Periodicities in Multi-Time Data with Sampling Uncertainties |
title_sort |
determining joint periodicities in multi-time data with sampling uncertainties |
publisher |
IEEE - Institute of Electrical and Electronics Engineers Inc. |
publishDate |
2022 |
url |
https://lup.lub.lu.se/record/e0afadc6-50b7-4fd1-a880-964fdcda8b79 https://doi.org/10.1109/ICASSP43922.2022.9747184 |
genre |
ice core |
genre_facet |
ice core |
op_source |
ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; 2022-May, pp 5737-5741 (2022) ISSN: 1520-6149 |
op_relation |
https://lup.lub.lu.se/record/e0afadc6-50b7-4fd1-a880-964fdcda8b79 http://dx.doi.org/10.1109/ICASSP43922.2022.9747184 ISBN: 9781665405409 scopus:85131240640 |
op_doi |
https://doi.org/10.1109/ICASSP43922.2022.9747184 |
container_title |
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) |
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5737 |
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5741 |
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1766029147232010240 |