PhD Qualifying Exam Slides on OSD

tagged: signal processing   convex optimization   optimization   signal separation   slides   phd progress

A preview of optimal signal demixing (OSD)

Optimal signal demixing (OSD) is an approach to solving structured signal separation problems. I presented my research on this topic for my PhD qualifying exam in Electrical Engineering at Stanford University in October 2019. I am hosting the slides here, in advance of a coming paper on this topic in the next year.

  • Slides are available here.
  • GitHub repo is here.
Written on January 22, 2020