Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices
Martin Ehler; Manuel Gräf; Franz J. Király
Waves, Wavelets and Fractals (2015)
- Volume: 1, Issue: 1
- ISSN: 2449-5557
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topMartin Ehler, Manuel Gräf, and Franz J. Király. "Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices." Waves, Wavelets and Fractals 1.1 (2015): null. <http://eudml.org/doc/276543>.
@article{MartinEhler2015,
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.},
author = {Martin Ehler, Manuel Gräf, Franz J. Király},
journal = {Waves, Wavelets and Fractals},
language = {eng},
number = {1},
pages = {null},
title = {Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices},
url = {http://eudml.org/doc/276543},
volume = {1},
year = {2015},
}
TY - JOUR
AU - Martin Ehler
AU - Manuel Gräf
AU - Franz J. Király
TI - Phase retrieval using random cubatures and fusion frames of positive semidefinite matrices
JO - Waves, Wavelets and Fractals
PY - 2015
VL - 1
IS - 1
SP - null
AB - 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.
LA - eng
UR - http://eudml.org/doc/276543
ER -
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