BEGIN:VCALENDAR VERSION:2.0 PRODID:researchseminars.org CALSCALE:GREGORIAN X-WR-CALNAME:researchseminars.org BEGIN:VEVENT SUMMARY:Jennifer K. Ryan (KTH) DTSTART:20260209T121500Z DTEND:20260209T130000Z DTSTAMP:20260417T003712Z UID:cam/91 DESCRIPTION:Title: Tec hniques for data enhancement\nby Jennifer K. Ryan (KTH) as part of CAM seminar\n\nLecture held in MV:L14.\n\nAbstract\nExtracting extra informat ion from data can allow for more insight into the interaction between disp arate scales. It can also aid in minimising error and decreasing noise in data. While the ability to move data from fine resolutions to coarser res olutions is straight forward utilizing a multi-resolution analysis framewo rk\, moving data from a coarse resolution to a finer resolution while redu cing errors is more challenging. This relies on combining filtering techn iques into the multi-resolution analysis framework. This approach has the further advantage of requiring fewer computations to gain insight into cal culations such as for Bohm speed. In this talk\, we present methods for d ata enhancement through multi-resolution analysis and the Smoothness-Incre asing Accuracy-Conserving (SIAC) filtering framework. SIAC is known to inh erently take advantage of the underlying physics and allow for the full re solution of the approximation and its derivatives in both the physical dom ain 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/91/ END:VEVENT END:VCALENDAR