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Investigations of the Methods of Time Delay Measurement of Stochastic Signals Using Cross-correlation with the Hilbert Transform
Abstract
The article presents the results of simulation studies of four methods of estimating time delay for random signals using cross-correlation with the Hilbert Transform. Selected models of mutually delayed stochastic signals were used in the simulations, corresponding to the signals obtained from scintillation detectors in radioisotope measurements of liquid-gas two-phase flow. Standard deviations of the values of the individual functions were designated and compared, along with standard deviations of time delay estimates determined on their basis. The obtained results were compared with the results for classic cross-correlation function (CCF). It was found that for the analysed range of the signal-to-noise ratio (SNR): 0.2 ≤ SNR ≤ 5, the lowest values of standard deviation of time delay estimates were obtained for the CCFHT function (cross-correlation with the Hilbert Transform of the delayed signal).
Citations
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2
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0
Web of Science
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6
Scopus
Authors (4)
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Robert Hanus
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Marcin Zych
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Rafał Chorzępa mg inż.
Cite as
Full text
- Publication version
- Accepted or Published Version
- License
- Copyright (2020, IEEE)
Keywords
Details
- Category:
- Conference activity
- Type:
- publikacja w wydawnictwie zbiorowym recenzowanym (także w materiałach konferencyjnych)
- Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Hanus R., Zych M., Chorzępa R., Golijanek-Jędrzejczyk A.: Investigations of the Methods of Time Delay Measurement of Stochastic Signals Using Cross-correlation with the Hilbert Transform// / : , 2020,
- DOI:
- Digital Object Identifier (open in new tab) 10.1109/melecon48756.2020.9140630
- Verified by:
- Gdańsk University of Technology
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