Phase Retrieval via Polarization in Dynamical Sampling

In this paper we consider the nonlinear inverse problem of phase retrivial in context dynamical sampling. Where retrieval deals with recovery signals & images from phaseless measurements, sampling was introduced by Aldroubi et al. 2015 as a tool to recover diffusion fields spatiotemporal samples. Considering finite-dimensional evolving time under action known matrix, our aim is signal up global stable way absolute value certain space-time measurements. First, state necessary conditions for system vectors make unknown possible. The deal spectrum given matrix and initial vector. Then, assuming that have access specific set further measurements related aligned vectors, provide feasible procedure almost every using polarization techniques. Moreover, show adding extra like full spark, all possible without exceptions.