FPGA-Based Tensor Compressive Sensing Reconstruction Processor for Terahertz Single-Pixel Imaging Systems

Author:

Wang Wei-Chieh1,Hung Yi-Chun2ORCID,Du Yu-Heng2,Yang Shang-Hua3ORCID,Huang Yuan-Hao4ORCID

Affiliation:

1. Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan

2. Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan

3. Department of Electrical Engineering and Institute of Electronics Engineering, National Tsing Hua University, Hsinchu, Taiwan

4. Department of Electrical Engineering and Institute of Communications Engineering, National Tsing Hua University, Hsinchu, Taiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Medicine

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Two-stage Adaptive Compressive Sensing and Reconstruction for Terahertz Single-Pixel Imaging;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. 基于PnP-ADMM SOC平台的单像素高分辨成像系统;Acta Optica Sinica;2024

3. WRA-MF: A Bit-Level Convolutional-Weight-Decomposition Approach to Improve Parallel Computing Efficiency for Winograd-Based CNN Acceleration;Electronics;2023-12-08

4. Tensor Compressive Sensing Processor for 64x64 Terahertz Single-Pixel Imaging;2023 20th International SoC Design Conference (ISOCC);2023-10-25

5. 3D Tensor Compressive Sensing THz Single-Pixel Imaging for Refractive Index Estimation;2023 48th International Conference on Infrared, Millimeter, and Terahertz Waves (IRMMW-THz);2023-09-17

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