Tensor-Based Terahertz Compressive Sensing Imaging

Wei-Chieh Wang; Jou-Chen Wang; Yi-Chun Hung; Shang-Hua Yang; Yuan-Hao Huang

doi:10.1109/IRMMW-THz50926.2021.9567433

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Conference paper

Tensor-Based Terahertz Compressive Sensing Imaging

Wei-Chieh Wang, Jou-Chen Wang, Yi-Chun Hung, Shang-Hua Yang and Yuan-Hao Huang

International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, Vol.2021-August

2021

DOI: https://doi.org/10.1109/IRMMW-THz50926.2021.9567433

Abstract

Energy Engineering and Power Technology

Electrical and Electronic Engineering

This paper presents a novel tensor-based compressive sensing model for terahertz single-pixel imaging system, which features extremely low computational complexity for the image reconstruction and facilitates the realization of high-resolution terahertz imaging systems.

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Title: Tensor-Based Terahertz Compressive Sensing Imaging
Translated title: Tensor-Based Terahertz Compressive Sensing Imaging
Creators - without role: Wei-Chieh Wang - National Tsing Hua University
Jou-Chen Wang - National Tsing Hua University
Yi-Chun Hung - University of California, Los Angeles
Shang-Hua Yang - National Tsing Hua University
Yuan-Hao Huang - National Tsing Hua University
Identifiers: 9781728194240; 9957771698806774
Academic Unit: Institute of Electronics Engineering, College of Electrical Engineering and Computer Science, National Tsing Hua University
Language: English
Resource Type: Conference paper
Publication Details: International Conference on Infrared, Millimeter, and Terahertz Waves, IRMMW-THz, Vol.2021-August

Tensor-Based Terahertz Compressive Sensing Imaging

Abstract

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