Phase Retrieval: From Computational Imaging to Machine Learning

Understand

Phase retrieval consists in the recovery of a complex-valued signal from intensity-only measurements.

• As it pervades a broad variety of applications, many researchers have striven to develop phase-retrieval algorithms.
• Classical approaches involve techniques as varied as generic gradient-descent routines or specialized spectral methods, to name a few.
• Yet, the phase-recovery problem remains a challenge to this day.