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Proceedings Paper

Simulation of different samples size on 2.52THz compressive holographic tomography
Author(s): Jing Yuan; Qi Li
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Paper Abstract

Terahertz compressive holographic tomography has been one of the most investigated research topics ever since the generation of terahertz signals. The accuracy of the 3D reconstruction results are influenced by samples size directly. This paper mainly studies that different samples size influence the compressive sensing algorithm iteration number and sparse restriction parameters on the 2.52THz reconstruction results under Gaussian noise conditions. The best reconstruction parameters are given and compared with condition of no noise. This simulation study is possible benefit to the practical application.

Paper Details

Date Published: 15 November 2018
PDF: 6 pages
Proc. SPIE 10964, Tenth International Conference on Information Optics and Photonics, 109642Q (15 November 2018); doi: 10.1117/12.2505850
Show Author Affiliations
Jing Yuan, Harbin Institute of Technology (China)
Qi Li, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 10964:
Tenth International Conference on Information Optics and Photonics
Yidong Huang, Editor(s)

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