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arxiv: 1802.03784 · v1 · pith:NHWOG5Y4new · submitted 2018-02-11 · 📡 eess.SP

Uncertainty Principles Associated with the Offset Linear Canonical Transform

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keywords olctuncertaintylinearprinciplecanonicalshort-timetransformoffset
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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.

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