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SUMMARY:Michael P. Friedlander (University of British Columbia)
DTSTART:20201026T143000Z
DTEND:20201026T153000Z
DTSTAMP:20260423T021003Z
UID:OWOS/24
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/OWOS/24/">Po
 lar deconvolution of mixed signals</a>\nby Michael P. Friedlander (Univers
 ity of British Columbia) as part of One World Optimization seminar\n\n\nAb
 stract\nThe signal demixing problem seeks to separate the superposition of
  multiple signals into its constituent components. We model the superposit
 ion process as the polar convolution of atomic sets\, which allows us to u
 se the duality of convex cones to develop an efficient two-stage algorithm
  with sublinear iteration complexity and linear storage. If the signal mea
 surements are random\, the polar deconvolution approach stably recovers lo
 w-complexity and mutually-incoherent signals with high probability and wit
 h optimal sample complexity. Numerical experiments on both real and synthe
 tic data confirm the theory and efficiency of the proposed approach.\n\nJo
 int work with Zhenan Fan\, Halyun Jeong\, and Babhru Joshi at the Universi
 ty of British Columbia.\n\nThe address and password of the zoom room of th
 e seminar are sent by e-mail on the mailinglist of the seminar one day bef
 ore each talk\n
LOCATION:https://researchseminars.org/talk/OWOS/24/
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