Work

Q-Ary Compressive Sensing

Year: 2013

Type: preprint

Abstract: Publication in the conference proceedings of SampTA, Bremen, Germany, 2013

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1302.5168

Authors: Mroueh, Youssef, Rosasco, Lorenzo

Institutions: Italian Institute of Technology, IIT@MIT, Massachusetts Institute of Technology, University of Genoa

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2127973790

Cites: 11

Cited by: 1

Related to: 20