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Uncertainty Principle of the Special Affine Fourier Transform for Discrete Signals

  • Mo Han
  • Jun Shi
  • Xuejun Sha
  • Min Jia
  • Qingzhong Li
  • Naitong Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

Abstract

The special affine Fourier transform (SAFT) encompasses series of famous transforms, and it has been proved as an effective way to solve problems of signal processing and optics. The product of the spreads of a signal in time and SAFT domains is limited, and the lower bound is given by the uncertainty principle of the SAFT. Unfortunately, this uncertainty principle is only established on the analog signal instead of discrete signals, which are more common in practice. This paper aims to introduce a novel uncertainty principle of the SAFT for discrete signals. First, the definitions of time and SAFT-band durations in discrete signals are given. Then, a minimum of the product of time and SAFT-frequency spreads is determined. Some related properties are also discussed.

Keywords

Special affine Fourier transform Time spread Frequency spread Discrete signals Uncertainty principle 

Notes

Acknowledgments

This work was supported in part by the National Natural Science Foundation of China under Grants 61501144 and 61671179, in part by the Fundamental Research Funds for the Central Universities under Grant 01111305, and in part by the National Basic Research Program of China under Grant 2013CB329003.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Mo Han
    • 1
  • Jun Shi
    • 1
  • Xuejun Sha
    • 1
  • Min Jia
    • 1
  • Qingzhong Li
    • 2
  • Naitong Zhang
    • 1
  1. 1.Communication Research CenterHarbin Institute of TechnologyHarbinChina
  2. 2.State Grid Heilongjiang Electric Power Company, Limited Information and Communication CompanyHarbinChina

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