Work

An Efficient Method for Compressed Sensing

Year: 2007

Type: conference-paper

Source: Proceedings - International Conference on Image Processing

DOI: 10.1109/icip.2007.4379260

Authors: Seung-Jean Kim, Kwangmoo Koh, Michael Lustig, Stephen Boyd

Institution: Stanford University

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Computational Mechanics

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W2137123295

FWCI: 13.61

Cites: 21

Cited by: 71

Related to: 10