A dynamic mode decomposition approach for large and arbitrarily sampled systems
- Submitting institution
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Birmingham City University
- Unit of assessment
- 12 - Engineering
- Output identifier
- 12Z_OP_D0015
- Type
- D - Journal article
- DOI
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10.1063/1.4908073
- Title of journal
- Physics of Fluids
- Article number
- 25113
- First page
- -
- Volume
- 27
- Issue
- 2
- ISSN
- 1070-6631
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The manuscript tackles the problem of modal decomposition of a data set when the sampling strategy is not uniform. It allows to deal with loss of data, corruption of data, or if the amount of data to process is too large too handle.
It is one of the first methodology that allows to make use of such dataset, and hence has a large impact on the community. It will lead, in the future, to international collaboration with France and the Univ. of Washington.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -