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Channel-Equalized Terahertz Compressed Sensing Imaging
會議論文

Channel-Equalized Terahertz Compressed Sensing Imaging

Chun-Yu Kao, Li-Hsuan Chiu, Chia-Ming Mai, Rayko Ivanov Stantchev, Yuan-Hao Huang 和 Shang-Hua Yang
International Conference on Infrared, Millimeter, and Terahertz Waves (Print), 頁碼.1-2
IEEE
2024 49th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz) (Perth, Australia, 01/09/2024–06/09/2024)
01/09/2024
Web of Science ID: WOS:001334520200341

摘要

channel equalization Compressed sensing compressed sensing imaging Image reconstruction Optical modulation Optical pumping Optical receivers Optical sensors Optical signal processing Signal processing algorithms terahertz time-domain spectroscopy Terahertz wave imaging Time-domain analysis Digital Signal Processing
Among all terahertz (THz) imaging techniques, compressed sensing imaging shows the potential to perform large area detection with faster acquisition time and capability to be integrated with single pixel THz receiver. However, despite the mentioned advantages, unevenly distributed THz beam and spatial modulated optical pump begin to affect the image system and reduce the reconstruction quality within the utilization of larger field of view. Hence, we establish a THz compressed sensing imaging system with equalization procedure along orthogonal basis pursuit (OMP) algorithm to mitigate these effects. Results from imaging experiments demonstrate the effectiveness of the proposed equalization method in improving image reconstruction, presenting a precise mathematical model simulating and non-ideal phenomenon calibration.

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詳細資料

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