Work

Compressed Sensing With Quantized Measurements

Year: 2009

Type: article

Source: IEEE Signal Processing Letters

DOI: 10.1109/lsp.2009.2035667

Authors: A. Zymnis, S. Boyd, E. Candes

Institution: Stanford University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2154423986

FWCI: 15.58

Cites: 31

Cited by: 318

Related to: 10