The uncertainty principle: Group theoretic approach, possible minimizers and scale-space properties

Chen Sagiv*, Nir A. Sochen, Yehoshua Y. Zeevi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

9 Scopus citations


The uncertainty principle is a fundamental concept in the context of signal and image processing just as much as it has been in the framework of physics and more recently in harmonic analysis. Uncertainty principles can be derived by using a group theoretic approach. This approach yields also a formalism for finding functions which are the minimizers of the uncertainty principles. A general theorem which associates an uncertainty principle with a pair of self-adjoint operators is used in finding the minimizers of the uncertainty related to various groups. This study is concerned with the uncertainty principle in the context of the Weyl-Heisenberg the SIM(2) the Affine and the Affine-Weyl-Heisenberg groups. We explore the relationship between the two-dimensional affine group and the SIM (2) group in terms of the uncertainty minimizers. The uncertainty principle is also extended to the Affine-Weyl-Heisenberg group in one dimension. Possible minimizers related to these groups are also presented and the scale-space properties of some of the minimizers are explored.

Original languageEnglish
Pages (from-to)149-166
Number of pages18
JournalJournal of Mathematical Imaging and Vision
Issue number1-2
StatePublished - Nov 2006


FundersFunder number


    • Affine Weyl-Heisenberg group
    • Minimal uncertainty states
    • Scale-space properties
    • Uncertainty principles


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