Infrared and Laser Engineering, Volume. 52, Issue 4, 20220443(2023)

Adaptive sparse algorithm for terahertz time domain signals based on gradient threshold

Lili Qin1,2, Lijuan Li1,2,3, Jiaojiao Ren1,2,3, Jian Gu1,2,3, Weihua Xiong1,2, Dandan Zhang1,2,3, Lili Zhu1,2, Jiyang Zhang1,2,3, Junwen Xue3, Baihong Jiang4, and Zenghua Gao4
Author Affiliations
  • 1Key Laboratory of Optoelectronic Measurement and Optical Information Transmission Technology, Ministry of Education, School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • 2National Demonstration Center for Experimental Opto-Electronic Engineering Education, School of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun 130022, China
  • 3Zhongshan Research Institute, Changchun University of Science and Technology, Zhongshan 528400, China
  • 4Aerospace Special Materials and Processing Technology Institute, Beijing 100074, China
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    Figures & Tables(15)
    Propagation process of THz signal in multilayer bonded structure sample
    THz signal characteristic peak/valley
    Effective and invalid feature regions of THz signal
    Multi-Gaussian peak superposition to fit THz signal
    (a) Normal multilayer bonding structure sample and THz-TDS detection signal; (b) Debonding defect test sample and THz-TDS detection signal
    Normal and defect THz signal
    (a) Normal signal A; (b) Defect signal B
    (a) Amplitude error of recovered signal A; (b) Amplitude error of recovered signal B
    Compression performance comparison of signal compression algorithms
    THz images of the original signal. (a) Upper flight time image; (b) Lower flight time image; (c) Upper peak-to-peak image; (d) Lower peak-to-veally image
    THz images of sparse recovery signal. (a) Upper flight time image; (b) Lower flight time image; (c) Upper peak-to-peak image; (d) Lower peak-to-veally image
    Data calculation time and storage space
    • Table 1. Time position corresponding to characteristic peak-to-peak values of signal A and signal B

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      Table 1. Time position corresponding to characteristic peak-to-peak values of signal A and signal B

      THz signal${T_{{\rm{up1}}} }$/ps ${T_{{\rm{up2}}} }$/ps ${T_{{\rm{low1}}} }$/ps ${T_{{\rm{low2}}} }$/ps
      Signal A57.267.978.789.6
      Signal B57.667.478.287.8
    • Table 2. Sparse threshold of signal A and signal B

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      Table 2. Sparse threshold of signal A and signal B

      THz signal$\tau $$\eta $Original data numberSparse data number
      Signal A0.420.071 600224
      Signal B0.330.091 600216
    • Table 3. Area ratio of defect regions in upper and lower THz signal images

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      Table 3. Area ratio of defect regions in upper and lower THz signal images

      Defect region 1Defect region 2Defect region 3Defect region 4
      Upper1.011.000.961.05
      Lower1.031.000.991.00
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    Lili Qin, Lijuan Li, Jiaojiao Ren, Jian Gu, Weihua Xiong, Dandan Zhang, Lili Zhu, Jiyang Zhang, Junwen Xue, Baihong Jiang, Zenghua Gao. Adaptive sparse algorithm for terahertz time domain signals based on gradient threshold[J]. Infrared and Laser Engineering, 2023, 52(4): 20220443

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    Paper Information

    Category: Image processing

    Received: Jun. 27, 2022

    Accepted: --

    Published Online: Jul. 4, 2023

    The Author Email:

    DOI:10.3788/IRLA20220443

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