An unscented transformation approach to stochastic analysis of measurement uncertainty in magnet res...
An unscented transformation approach to stochastic analysis of measurement uncertainty in magnet resonance imaging with applications in engineering
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Publisher
Zielona Góra: Sciendo
Journal title
Language
English
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Publisher
Zielona Góra: Sciendo
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Contents
In the frame of stochastic filtering for nonlinear (discrete-time) dynamic systems, the unscented transformation plays a vital role in predicting state information from one time step to another and correcting
knowledge of uncertain state estimates by available measured data corrupted by random noise. In contrast to linearization-based techniques...
Alternative Titles
Full title
An unscented transformation approach to stochastic analysis of measurement uncertainty in magnet resonance imaging with applications in engineering
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TN_cdi_doaj_primary_oai_doaj_org_article_6621e09830114316a7071ac5841b0ae9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6621e09830114316a7071ac5841b0ae9
Other Identifiers
ISSN
1641-876X
E-ISSN
2083-8492
DOI
10.34768/amcs-2021-0006
