Work

Robust and universal covariance estimation from quadratic measurements via convex programming

Year: 2014

Type: conference-paper

Source: IEEE International Symposium on Information Theory (ISIT)

DOI: 10.1109/isit.2014.6875187

Authors: Yuxin Chen, Yuejie Chi, Andrea J. Goldsmith

Institutions: Stanford University, The Ohio State University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Air Force Office of Scientific Research

OpenAlex ID: W1964391232

FWCI: 4.395

Cites: 16

Cited by: 8

Related to: 10