A single-pixel terahertz imaging system based on compressed sensing

By Wai Lam Chan, K. Charan, Dharmpal Takhar, Kevin F. Kelly, Richard Baraniuk, Daniel M. Mittleman. 2008

752 citations recorded by the source corpus.

Subfields: Acoustics and Ultrasonics, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/9dbd966425318ca8f7f84b390f3a99043c877626

How researchers see this paper

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

In Acoustics and Ultrasonics

1. Yonina C. Eldar
2. Marco F. Duarte

In Electrical and Electronic Engineering

1. Marco F. Duarte
2. Yonina C. Eldar
3. J. Grzyb
4. Muqaddas Naureen
5. Ullrich R. Pfeiffer
6. Wafa Iqbal
7. Saad B. Qaisar
8. Sungyoung Lee

Citations in the corpus

• Compressed Sensing (2014, neutral): “Estas abarcan diversas áreas como: imagenoloǵıa medica [49, 45], conversión analógico/digital [68], detección mediante RADAR [4, 42], corrección de errores [18], cámaras digitales [34, 21, 51], Sismoloǵıa [41], Radioastronomı́a [71], comunicación inalámbrica [63, 3, 65] y redes de sensores inalámbri”
• Structured Compressed Sensing: From Theory to Applications (2011, methodology): “Similar imaging hardware architectures have been developed in [79], [80].”
• Compressive sensing: From theory to applications, a survey (2013, methodology): “In this system, image acquisition time is proportional to speed of the THz detector [60].”
• Terahertz Imaging and Sensing Applications With Silicon-Based Technologies (2019, methodology): “of THz SPC was based on metal masks that were constructed and replaced manually [108], resulting in a very slow image acquisition.”