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Uncertainty Principle for the Short-time Special Affine Fourier Transform
- Source :
- Circuits, Systems, and Signal Processing. 40:4594-4613
- Publication Year :
- 2021
- Publisher :
- Springer Science and Business Media LLC, 2021.
-
Abstract
- The special affine Fourier transform (SAFT) generalizes a number of well known unitary transformations, signal processing transformations and optics related mathematical operations. For example, Fourier transform, fractional Fourier transform, linear canonical transform, etc. The short-time special affine Fourier transform (STSAFT) is a novel time-frequency analysis tool, which solve the limitation of SAFT in time-frequency signal description. In this paper, we generalize some different uncertainty principles (UPs) for the SAFT and STSAFT of complex signals. The UPs for the STSAFT of complex signals are obtained in both local and global cases. Then the uncertainty principle for two STSAFT time-frequency domains is discussed. Finally, we provide a class of signals to illustrate our results.
- Subjects :
- 0209 industrial biotechnology
Signal processing
Uncertainty principle
Computer science
Applied Mathematics
02 engineering and technology
Unitary state
Signal
Fractional Fourier transform
symbols.namesake
020901 industrial engineering & automation
Fourier transform
Signal Processing
symbols
Applied mathematics
Affine transformation
Operation
Subjects
Details
- ISSN :
- 15315878 and 0278081X
- Volume :
- 40
- Database :
- OpenAIRE
- Journal :
- Circuits, Systems, and Signal Processing
- Accession number :
- edsair.doi...........bbdc16b7713c3e6108c8884dfbc6c7e7
- Full Text :
- https://doi.org/10.1007/s00034-021-01685-x