Data driven optimal filtering for phase and frequency of noisy oscillations: application to vortex f...
Data driven optimal filtering for phase and frequency of noisy oscillations: application to vortex flowmetering
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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A new method for extracting the phase of oscillations from noisy time series is proposed. To obtain the phase, the signal is filtered in such a way that the filter output has minimal relative variation in the amplitude (MIRVA) over all filters with complex-valued impulse response. The argument of the filter output yields the phase. Implementation o...
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Full title
Data driven optimal filtering for phase and frequency of noisy oscillations: application to vortex flowmetering
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TN_cdi_proquest_journals_2089389741
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2089389741
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E-ISSN
2331-8422
DOI
10.48550/arxiv.0305039
