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DTSTART:19810329T020000
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DTSTART:19961027T030000
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UID:news1984@dmi.unibas.ch
DTSTAMP;TZID=Europe/Zurich:20260221T143017
DTSTART;TZID=Europe/Zurich:20260313T110000
SUMMARY:Seminar in Numerical Analysis: Matthias Ospel (Deutsch-Französisch
 es Forschungsinstitut Saint-Louis)
DESCRIPTION:In this talk\, we revisit multi-source localization from the pe
 rspective of the time-domain wave equation. Under a high-frequency approxi
 mation\, the wave equation reduces to the eikonal equation\, whose solutio
 ns describe travel-time fields. We show how numerical solutions of the for
 ward problem governed by the eikonal equation can be used to address the i
 nverse problem of localizing impulsive sources in topographically complex 
 environments. We also consider classical free-field solvers and the proble
 m of localizing multiple sources in the presence of clutter\, timing uncer
 tainty\, incomplete data\, and an unknown source count. To address these c
 hallenges\, we introduce a combinatorial coalition-based model solved via 
 set packing\, enabling joint data association\, source counting\, and mult
 i-source localization. Monte Carlo simulations and acoustic experiments in
  urban environments illustrate the behavior of the proposed methods. The p
 resentation emphasizes the conceptual bridge between wave propagation and 
 robust multi-source localization.\\r\\nFor further information about the s
 eminar\, please visit this webpage [https://dmi.unibas.ch/de/forschung/mat
 hematik/seminar-in-numerical-analysis/].
X-ALT-DESC:<p>In this talk\, we revisit multi-source localization from the 
 perspective of the time-domain wave equation. Under a high-frequency appro
 ximation\, the wave equation reduces to the eikonal equation\, whose solut
 ions describe travel-time fields. We show how numerical solutions of the f
 orward problem governed by the eikonal equation can be used to address the
  inverse problem of localizing impulsive sources in topographically comple
 x environments. We also consider classical free-field solvers and the prob
 lem of localizing multiple sources in the presence of clutter\, timing unc
 ertainty\, incomplete data\, and an unknown source count. To address these
  challenges\, we introduce a combinatorial coalition-based model solved vi
 a set packing\, enabling joint data association\, source counting\, and mu
 lti-source localization. Monte Carlo simulations and acoustic experiments 
 in urban environments illustrate the behavior of the proposed methods. The
  presentation emphasizes the conceptual bridge between wave propagation an
 d robust multi-source localization.</p>\n<p>For further information about 
 the seminar\, please visit this <a href="https://dmi.unibas.ch/de/forschun
 g/mathematik/seminar-in-numerical-analysis/">webpage</a>.</p>
DTEND;TZID=Europe/Zurich:20260313T123000
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