Abstract
Linear canonical transformation (LCT) is a generalization of the Fourier transform and fractional Fourier transform. The recent research has shown that the LCT is widely used in signal processing and applied mathematics, and the discretization of the LCT becomes vital for the applications of LCT. Based on the development of discretization LCT, a review of important research progress and current situation is presented, which can help researchers to further understand the discretization of LCT and can promote its engineering application. Meanwhile, the connection among different discretization algorithms and the future research are given.
Original language | English |
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Pages (from-to) | 205-216 |
Number of pages | 12 |
Journal | Journal of Beijing Institute of Technology (English Edition) |
Volume | 30 |
Issue number | 3 |
DOIs | |
Publication status | Published - Sept 2021 |
Keywords
- Discrete linear canonical transform
- Fast algorithm
- Linear canonical transform(LCT)
- Sampling
- Wigner-Ville distribution