A novel algorithm for image representation using discrete spectrum of the Schrödinger operator

Zineb Kaisserli, Taous-Meriem Laleg-Kirati, Amina Lahmar-Benbernou

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

This paper extends the recent signal analysis method based on the spectral analysis of the semi-classical Schrödinger operator to two dimensions. An algorithm based on the tensor product approach when writing the eigenfunctions of the semi-classical Schrödinger operator is proposed. The algorithm is described and the effect of some parameters on the convergence of this method are numerically studied. The performance of the algorithm is illustrated through some examples.
Original languageEnglish (US)
Pages (from-to)80-87
Number of pages8
JournalDigital Signal Processing
Volume40
Issue number1
DOIs
StatePublished - May 2015

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was conducted when the first author was visiting the Estimation, Modeling and ANalysis Group at the Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) devision at King Abdullah University of Science and Technology (KAUST). She would like to thank KAUST for its support and generous hospitality.

ASJC Scopus subject areas

  • Signal Processing
  • Electrical and Electronic Engineering

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