The problem of phase retrieval, ie, the recovery of a function given the magnitude of its
Fourier transform, arises in various fields of science and engineering, including electron …

Recent advances in convex optimization have led to new strides in the phase retrieval
problem over finite-dimensional vector spaces. However, certain fundamental questions …

Phase retrieval, ie the problem of recovering a function from the squared magnitude of its
Fourier transform, arises in many applications, such as X-ray crystallography, diffraction …

The problem of phase retrieval, ie, the problem of recovering a function from the magnitudes
of its Fourier transform, naturally arises in various fields of physics, such as astronomy …

The problem of recovering a signal from its phaseless Fourier transform measurements,
called Fourier phase retrieval, arises in many applications in engineering and science …

The problem of recovering a signal from its Fourier magnitude is of paramount importance in
various fields of engineering and applied physics. Due to the absence of Fourier phase …

In this paper, we consider computational super-resolution inverse diffraction phase retrieval.
The optical setup is lensless, with a spatial light modulator for aperture phase coding. The …

The problem of signal recovery from the autocorrelation, or equivalently, the magnitudes of
the Fourier transform, is of paramount importance in various fields of engineering. In this …

Phase retrieval plays an important role in vast industrial and scientific applications. We
consider a noisy phase retrieval problem in which the magnitudes of the Fourier transform …

The present paper is a survey aiming at characterizing all solutions of the discrete phase
retrieval problem. Restricting ourselves to discrete signals with finite support, this problem …