Sample-Efficient Low Rank Phase Retrieval

This work studies the Low Rank Phase Retrieval (LRPR) problem: recover an <inline-formula> <tex-math notation="LaTeX">n \times q </tex-math></inline-formula> rank-<inline-formula> <tex-math notation="LaTeX">r </tex-math></inline-formul...

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Bibliographic Details

Published in:	IEEE transactions on information theory Vol. 67; no. 12; pp. 8190 - 8206
Main Authors:	Nayer, Seyedehsara, Vaswani, Namrata
Format:	Journal Article
Language:	English
Published:	New York IEEE 01.12.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Complexity Complexity theory compressive sensing Extraterrestrial measurements Incoherence low rank matrix recovery Low-rank Mathematical analysis Matrix algebra Noise measurement Phase measurement Phase retrieval phase retrieval (PR) Principal component analysis Stability analysis
ISSN:	0018-9448, 1557-9654
Online Access:	Get full text
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