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<dc:title xml:lang="pl"><![CDATA[An unscented transformation approach to stochastic analysis of measurement uncertainty in magnet resonance imaging with applications in engineering]]></dc:title>
<dc:creator><![CDATA[Rauh, Andreas]]></dc:creator>
<dc:creator><![CDATA[John, Kristine]]></dc:creator>
<dc:creator><![CDATA[Wüstenhagen, Carolin]]></dc:creator>
<dc:creator><![CDATA[Bruschewski, Martin]]></dc:creator>
<dc:creator><![CDATA[Grundmann, Sven]]></dc:creator>
<dc:subject xml:lang="pl"><![CDATA[magnet resonance imaging]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[compressed sensing]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[stochastic uncertainty]]></dc:subject>
<dc:subject xml:lang="pl"><![CDATA[unscented transformation]]></dc:subject>
<dc:description xml:lang="pl"><![CDATA[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 a priori knowledge of uncertain state estimates by available measured data corrupted by random noise. In contrast to linearization-based techniques, such as the extended Kalman filter, the use of an unscented transformation not only allows an approximation of a nonlinear process or measurement model in terms of a first-order Taylor series expansion at a single operating point, but it also leads to an enhanced quantification of the first two moments of a stochastic probability distribution by a large signal-like sampling of the state space at the so-called sigma points which are chosen in a deterministic manner.]]></dc:description>
<dc:description xml:lang="pl"><![CDATA[In this paper, a novel application of the unscented transformation technique is presented for the stochastic analysis of measurement uncertainty in magnet resonance imaging (MRI). A representative benchmark scenario from the field of velocimetry for engineering applications which is based on measured data gathered at an MRI scanner concludes this contribution.]]></dc:description>
<dc:publisher><![CDATA[Zielona Góra: Uniwersytet Zielonogórski]]></dc:publisher>
<dc:contributor><![CDATA[Korbicz, Józef (1951- ) - red.]]></dc:contributor>
<dc:contributor><![CDATA[Uciński, Dariusz - red.]]></dc:contributor>
<dc:date><![CDATA[2021]]></dc:date>
<dc:type xml:lang="pl"><![CDATA[artykuł]]></dc:type>
<dc:identifier><![CDATA[http://www.zbc.uz.zgora.pl/repozytorium/Content/86238/AMCS_2021_31_1_6.pdf]]></dc:identifier>
<dc:identifier><![CDATA[https://zbc.uz.zgora.pl/repozytorium/dlibra/publication/101330/edition/86238/content]]></dc:identifier>
<dc:identifier><![CDATA[oai:zbc.uz.zgora.pl:86238]]></dc:identifier>
<dc:source xml:lang="pl"><![CDATA[AMCS, volume 31, number 1 (2021)]]></dc:source>
<dc:source xml:lang="pl"><![CDATA[https://www.amcs.uz.zgora.pl/?action=papers&issue=119]]></dc:source>
<dc:language><![CDATA[eng]]></dc:language>
<dc:relation><![CDATA[oai:zbc.uz.zgora.pl:publication:101330]]></dc:relation>
<dc:rights xml:lang="pl"><![CDATA[Biblioteka Uniwersytetu Zielonogórskiego]]></dc:rights>
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