Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices
Numerical Analysis
2017-09-04 v1
Abstract
As a generalization of the standard phase retrieval problem, we seek to reconstruct symmetric rank-1 matrices from inner products with subclasses of positive semidefinite matrices. For such subclasses, we introduce random cubatures for spaces of multivariate polynomials based on moment conditions. The inner products with samples from sufficiently strong random cubatures allow the reconstruction of symmetric rank-1 matrices with a decent probability by solving the feasibility problem of a semidefinite program.
Cite
@article{arxiv.1505.05003,
title = {Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices},
author = {Martin Ehler and Manuel Graef and Franz J. Kiraly},
journal= {arXiv preprint arXiv:1505.05003},
year = {2017}
}