Infrared and Laser Engineering, Volume. 52, Issue 4, 20220443(2023)
Adaptive sparse algorithm for terahertz time domain signals based on gradient threshold
Fig. 1. Propagation process of THz signal in multilayer bonded structure sample
Fig. 5. (a) Normal multilayer bonding structure sample and THz-TDS detection signal; (b) Debonding defect test sample and THz-TDS detection signal
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
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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
Category: Image processing
Received: Jun. 27, 2022
Accepted: --
Published Online: Jul. 4, 2023
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