English

Uncertainty Principles Associated with the Offset Linear Canonical Transform

Signal Processing 2019-01-30 v1

Abstract

As a time-shifted and frequency-modulated version of the linear canonical transform (LCT), the offset linear canonical transform (OLCT) provides a more general framework of most existing linear integral transforms in signal processing and optics. To study simultaneous localization of a signal and its OLCT, the classical Heisenberg's uncertainty principle has been recently generalized for the OLCT. In this paper, we complement it by presenting another two uncertainty principles, i.e., Donoho-Stark's uncertainty principle and Amrein-Berthier-Benedicks's uncertainty principle, for the OLCT. Moreover, we generalize the short-time LCT to the short-time OLCT. We likewise present Lieb's uncertainty principle for the short-time OLCT and give a lower bound for its essential support.

Cite

@article{arxiv.1802.03784,
  title  = {Uncertainty Principles Associated with the Offset Linear Canonical Transform},
  author = {Haiye Huo and Wenchang Sun and Li Xiao},
  journal= {arXiv preprint arXiv:1802.03784},
  year   = {2019}
}

Comments

13 pages

R2 v1 2026-06-23T00:18:28.245Z