Work

Compressive Sensing [Lecture Notes]

Year: 2007

Type: article

Source: IEEE Signal Processing Magazine

DOI: 10.1109/msp.2007.4286571

Author: Richard Baraniuk

Institution: Rice University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

OpenAlex ID: W2104266187

FWCI: 103

Cites: 9

Cited by: 4,247

Related to: 10