Skip to main navigation
Skip to search
Skip to main content
Technical University of Munich Home
Help & FAQ
English
Deutsch
Home
Profiles
Research units
Projects
Research output
Prizes
Activities
Press/Media
Search by expertise, name or affiliation
Phase retrieval without small-ball probability assumptions
Felix Krahmer
, Yi Kai Liu
Associate Professorship of Optimization and Data Analysis
National Institute of Standards and Technology
University of Maryland, College Park
Research output
:
Contribution to journal
›
Article
›
peer-review
16
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Phase retrieval without small-ball probability assumptions'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Phase Retrieval
100%
Bernoulli
100%
Small Ball Probability
100%
Uniform Recovery
66%
PhaseLift
66%
Stability Proof
33%
Common Reconstruction
33%
Number of Measurements
33%
Large Classes
33%
Natural Class
33%
Phase Retrieval Problem
33%
Random Measurements
33%
Fourier Measurements
33%
Recovery Guarantee
33%
Sub-Gaussian Distribution
33%
Information-theoretic Bounds
33%
Random Mask
33%
Ball Condition
33%
Small Ball
33%
Engineering
Phase Retrieval
100%
Random Measurement
50%
Mathematics
Probability Theory
100%
Ball Condition
50%
Computer Science
Information Retrieval
100%
Random Measurement
50%
Earth and Planetary Sciences
Information Retrieval
100%