Solving complex quadratic systems with full-rank random matrices
We tackle the problem of recovering a complex signal from quadratic measurements of the
form, where is a full-rank, complex random measurement matrix whose entries are …
form, where is a full-rank, complex random measurement matrix whose entries are …
Solving quadratic systems with full-rank matrices using sparse or generative priors
The problem of recovering a signal from a quadratic system with full-rank matrices frequently
arises in applications such as unassigned distance geometry and sub-wavelength imaging …
arises in applications such as unassigned distance geometry and sub-wavelength imaging …
An oracle gradient regularized newton method for quadratic measurements regression
Recently, recovering an unknown signal from quadratic measurements has gained
popularity because it includes many interesting applications as special cases such as phase …
popularity because it includes many interesting applications as special cases such as phase …