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SUMMARY:Jennifer Ryan (KTH)
DTSTART:20250224T121500Z
DTEND:20250224T130000Z
DTSTAMP:20260417T004808Z
UID:cam/66
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/cam/66/">Tec
 hniques for Data enhancement</a>\nby Jennifer Ryan (KTH) as part of CAM se
 minar\n\nLecture held in MV:L14.\n\nAbstract\nExtracting extra information
  from data can allow for more insight into the interaction between dispara
 te scales. It can also aid in minimising error and decreasing noise in dat
 a.  While the ability to move data from fine resolutions to coarser resolu
 tions is straight forward utilizing a multi-resolution analysis framework\
 , moving data from a coarse resolution to a finer resolution while reducin
 g errors is more challenging.  This relies on combining filtering techniqu
 es into the multi-resolution analysis framework. This approach has the fur
 ther advantage of requiring fewer computations to gain insight into calcul
 ations such as for Bohm speed.  In this talk\, we present methods for data
  enhancement through multi-resolution analysis and the Smoothness-Increasi
 ng Accuracy-Conserving (SIAC) filtering framework. SIAC is known to inhere
 ntly take advantage of the underlying physics and allow for the full resol
 ution of the approximation and its derivatives in both the physical domain
  and Fourier signal space.  We discuss recent advances and reliance of the
  approach on the underlying numerical method that generated the data.\n
LOCATION:https://researchseminars.org/talk/cam/66/
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