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Sökning: onr:"swepub:oai:DiVA.org:kth-339042" > Harmonic retrieval ...

  • Bokaei, MohammadElectrical Engineering Department, Sharif University of Technology, Iran; Department of Electronic Systems, Aalborg university, Denmark (författare)

Harmonic retrieval using weighted lifted-structure low-rank matrix completion

  • Artikel/kapitelEngelska2024

Förlag, utgivningsår, omfång ...

  • Elsevier BV,2024
  • printrdacarrier

Nummerbeteckningar

  • LIBRIS-ID:oai:DiVA.org:kth-339042
  • https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-339042URI
  • https://doi.org/10.1016/j.sigpro.2023.109253DOI

Kompletterande språkuppgifter

  • Språk:engelska
  • Sammanfattning på:engelska

Ingår i deldatabas

Klassifikation

  • Ämneskategori:ref swepub-contenttype
  • Ämneskategori:art swepub-publicationtype

Anmärkningar

  • QC 20231128
  • In this paper, we investigate the problem of recovering the frequency components of a mixture of K complex sinusoids from a random subset of N equally-spaced time-domain samples. Because of the random subset, the samples are effectively non-uniform. Besides, the frequency values of each of the K complex sinusoids are assumed to vary continuously within a given range. For this problem, we propose a two-step strategy: (i) we first lift the incomplete set of uniform samples (unavailable samples are treated as missing data) into a structured matrix with missing entries, which is potentially low-rank; then (ii) we complete the matrix using a weighted nuclear minimization problem. We call the method a weighted lifted-structured (WLi) low-rank matrix recovery. Our approach can be applied to a range of matrix structures such as Hankel and double-Hankel, among others, and provides improvement over the unweighted existing schemes such as EMaC and DEMaC. We provide theoretical guarantees for the proposed method, as well as numerical simulations in both noiseless and noisy settings. Both the theoretical and the numerical results confirm the superiority of the proposed approach.

Ämnesord och genrebeteckningar

Biuppslag (personer, institutioner, konferenser, titlar ...)

  • Razavikia, SaeedKTH,Nätverk och systemteknik,Electrical Engineering Department, Sharif University of Technology, Iran(Swepub:kth)u1odkhj9 (författare)
  • Rini, StefanoElectrical and Computer Engineering Department, National Yang-Ming Chao-Tung University (NYCU), Taiwan (författare)
  • Amini, ArashElectrical Engineering Department, Sharif University of Technology, Iran (författare)
  • Behrouzi, HamidElectrical Engineering Department, Sharif University of Technology, Iran (författare)
  • Electrical Engineering Department, Sharif University of Technology, Iran; Department of Electronic Systems, Aalborg university, DenmarkNätverk och systemteknik (creator_code:org_t)

Sammanhörande titlar

  • Ingår i:Signal Processing: Elsevier BV2160165-16841872-7557

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