Uncertainty principles for linear canonical transform

Juan Zhao*, Ran Tao, Yan Lei Li, Yue Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

106 Citations (Scopus)

Abstract

This correspondence investigates the uncertainty principles under the linear canonical transform (LCT). First, a lower bound on the uncertainty product of signal representations in two LCT domains for complex signals is derived, which can be achieved by a complex chirp signal with Gaussian envelope. Then, the tighter lower bound for real signals in two LCT domains proposed by Sharma and Joshi is also proven to hold for arbitrary LCT parameters based on the properties of moments for the LCT. The uncertainty principle for the fractional Fourier transform is a special case of the achieved results.

Original languageEnglish
Pages (from-to)2856-2858
Number of pages3
JournalIEEE Transactions on Signal Processing
Volume57
Issue number7
DOIs
Publication statusPublished - 2009

Keywords

  • Fractional Fourier transform
  • Linear canonical transform (LCT)
  • U ncertainty principle

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