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[02356] Reconstruction of Multipolar Acoustic Sources using Sparse Measurements

  • Session Time & Room : 1D (Aug.21, 15:30-17:10) @A208
  • Type : Contributed Talk
  • Abstract : In this talk, we will discuss an algorithm for reconstructing multipolar acoustic sources using sparse far-field multifrequency measurements of the scattered field. A hybrid Fourier algorithm exploiting the low rank of the structured Hankel matrix associated with the scattered field is designed. The sparse data is first linked to the Fourier coefficients of the source, then enriched using an annihilation-filter-based Hankel matrix completion approach (ALOHA), and finally inverted for sources using the inverse Fourier transform.
  • Classification : 45Qxx, 65Txx, Machine Learning
  • Format : Talk at Waseda University
  • Author(s) :
    • Abdul Wahab (Nazarbayev University)
    • Abdul Wahab (Nazarbayev University)