Acta Photonica Sinica, Volume. 51, Issue 11, 1130001(2022)
CO Detection Based on Photoacoustic Spectroscopy with CEEMDAN
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Fig. 3. Differential photoacoustic cell operating in a first-order longitudinal resonance mode
Fig. 8. The relation between gas concentrations and second harmonic signal amplitudes（inset shows the noise measured at the pure N2 background）
Table 1. Performance comparison of wavelet algorithm and the noise reduction and reconstruction algorithm based on CEEMDAN
View tableView in ArticleTable 1. Performance comparison of wavelet algorithm and the noise reduction and reconstruction algorithm based on CEEMDAN
Performance Contaminated signal Wavelet CEEMDAN SNR 10.09 10.98 18.17 SSIM 0.23 0.53 0.66
Table 2. The correlation coefficients of the components and original signal
View tableView in ArticleTable 2. The correlation coefficients of the components and original signal
Component D1 D2 D3 D4 D5 D6 D7 Ci/Cr 0.219 0.244 -0.211 0.163 0.079 -0.078 0.036 Component D8 D9 D10 D11 D12 D13 Dr Ci/Cr 0.085 0.631 0.659 0.544 0.646 -0.481 0.078
Table 3. Performance parameters of PAS system
View tableView in ArticleTable 3. Performance parameters of PAS system
Signal amplitude / mV Standard deviation / mV SNR MDL /（×10-6） Original signal 676.3 5.275 128.2 11.7 With Wavelet 652.6 3.134 213.6 7.0 With CEEMDAN 669.3 1.114 585.8 2.6
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Lei LI, Liping TANG, Qiuyang MA, Zijiang GAO, Yang GAO, Yingying QIAO. CO Detection Based on Photoacoustic Spectroscopy with CEEMDAN[J]. Acta Photonica Sinica, 2022, 51(11): 1130001
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Received: Feb. 15, 2022
Accepted: Mar. 24, 2022
Published Online: Dec. 13, 2022
The Author Email: QIAO Yingying (qyy2019@zzu.edu.cn)
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