Compressive sensing: From theory to applications, a survey

By Saad B. Qaisar, Rana Muhammad Bilal, Wafa Iqbal, Muqaddas Naureen, Sungyoung Lee. Journal of Communications and Networks, 2013

463 citations recorded by the source corpus.

Subfields: Computational Mechanics, Electrical and Electronic Engineering, Signal Processing

View Paper: https://www.semanticscholar.org/paper/98608aaedbb45d229b79ed1a3ddbdb0ceb745967

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Mechanics

1. Giannis Daras
2. A. Dimakis
3. Ajil Jalal
4. Joseph Dean

In Electrical and Electronic Engineering

1. A. Dimakis
2. Giannis Daras
3. Ajil Jalal

In Signal Processing

1. Giannis Daras
2. A. Dimakis
3. Joseph Dean
4. Dacheng Tao
5. De-chuan Zhan
6. Geoffrey E. Hinton
7. Han-Jia Ye
8. Vineeth Nallure Balasubramanian

Citations in the corpus

• Compressed Sensing (2014, unknown): “En [59] se puede encontrar un análisis más exhaustivo de las aplicaciones.”
• Intermediate Layer Optimization for Inverse Problems using Deep Generative Models (2021, background): “Such inverse problems naturally appear in many applications including medical imaging, single pixel reconstruction and other domains (Lustig et al., 2007; 2008; Chen et al., 2008; Duarte et al., 2008; Qaisar et al., 2013; Hegde et al., 2009).”