Special Session 129: Mathematics of Data Science and Applications

Stable Phase Retrieval for Gaussian Shift-invariant Signals
Cheng Cheng
Sun Yat-sen University
Peoples Rep of China
Co-Author(s):    
Abstract:
Gabor phase retrieval for signals has attracted considerable attention in recent years. For the more general short-time linear canonical transform (STLCT), which arises naturally in optical systems and canonical time--frequency analysis, existing work has so far focused mainly on uniqueness and sampling conditions. Explicit reconstruction formulas, quantitative stability estimates, and robust reconstruction algorithms, however, are still missing. In this paper, we study uniqueness, stability, and robust reconstruction for phase retrieval from phaseless STLCT measurements in the complex Gaussian shift-invariant space $V_\beta^\infty(\varphi)$.