Iterative Reconstruction of Signals on Graph

Elena Toscano, Calogero Vetro, Emanuele Brugnoli

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

We propose an iterative algorithm to interpolate graph signals from only a partial set of samples. Our method is derived from the well known Papoulis-Gerchberg algorithm by considering the optimal value of a constant involved in the iteration step. Compared with existing graph signal reconstruction algorithms, the proposed method achieves similar or better performance both in terms of convergence rate and computational efficiency.
Original languageEnglish
Pages (from-to)76-80
Number of pages5
JournalIEEE Signal Processing Letters
Volume27
Publication statusPublished - 2020

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Applied Mathematics

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