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
- Infrared and Laser Engineering
- Vol. 52, Issue 4, 20220443 (2023)
Fig. 1. Propagation process of THz signal in multilayer bonded structure sample
Fig. 2. THz signal characteristic peak/valley
Fig. 3. Effective and invalid feature regions of THz signal
Fig. 4. Multi-Gaussian peak superposition to fit THz signal
Fig. 5. (a) Normal multilayer bonding structure sample and THz-TDS detection signal; (b) Debonding defect test sample and THz-TDS detection signal
Fig. 6. Normal and defect THz signal
Fig. 7. (a) Normal signal A; (b) Defect signal B
Fig. 8. (a) Amplitude error of recovered signal A; (b) Amplitude error of recovered signal B
Fig. 9. Compression performance comparison of signal compression algorithms
Fig. 10. 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
Fig. 11. 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
Fig. 12. Data calculation time and storage space
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Table 1. Time position corresponding to characteristic peak-to-peak values of signal A and signal B
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Table 2. Sparse threshold of signal A and signal B
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Table 3. Area ratio of defect regions in upper and lower THz signal images
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