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Uniqueness of Short-Time Linear Canonical Transform Phase Retrieval for Bandlimited Signals

  • Ying Li,
  • Qingyue Zhang,
  • Rui Li,
  • Bei Liu

摘要

The short-time Fourier transform phase retrieval problem is reconstructing a signal from its short-time Fourier transform magnitude. This phase retrieval approach has a wide range of applications across various fields, such as ptychography and frequency-resolved optical gating. A recent contribution by Wellershof established that the complex-valued signals in the Paley–Wiener space can be uniquely recovered (up to global phase) by their short-time Fourier transform magnitudes sampled at \(\frac{1}{4\Omega }\mathbb {Z}\times \{\omega _{0},\omega _{1}\}\) 1 4 Ω Z × { ω 0 , ω 1 } . In this paper, we generalize Wellershof’s findings to the case of short-time linear canonical transform phase retrieval. Specifically, we demonstrate that complex-valued signals in the generalized Paley–Wiener space can be uniquely recovered (up to global phase) by their short-time linear canonical transform magnitudes sampled at \(\frac{b}{4 \Omega } \mathbb {Z} \times \left\{ \omega _0, \omega _1\right\} \) b 4 Ω Z × ω 0 , ω 1 . Since the generalized Paley–Wiener space includes a broader class of signals, our results expand the application scope of the phase retrieval. Finally, we apply short-time linear canonical transform and short-time Fourier transform to the bandlimited signals and compare their standard deviation and energy concentration rate.