EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS
Inspired by the empirical mode decomposition (EMD)-enhanced gas detection work, this paper develops a further improved signal reconstruction method (namely EWT-ASG) for the demodulated harmonics of tunable diode laser absorption spectroscopy (TDLAS), which is mainly based on empirical wavelet transf...
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| Format: | Article |
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IEEE
2020-01-01
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| Series: | IEEE Photonics Journal |
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| Online Access: | https://ieeexplore.ieee.org/document/9085937/ |
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| author | Jianjun He Cao Song Qiwu Luo Chunhua Yang Weihua Gui |
| author_facet | Jianjun He Cao Song Qiwu Luo Chunhua Yang Weihua Gui |
| author_sort | Jianjun He |
| collection | DOAJ |
| description | Inspired by the empirical mode decomposition (EMD)-enhanced gas detection work, this paper develops a further improved signal reconstruction method (namely EWT-ASG) for the demodulated harmonics of tunable diode laser absorption spectroscopy (TDLAS), which is mainly based on empirical wavelet transform (EWT) and Savitzky-Golay (S-G) filtering. First, the imported EWT performs better on the decomposition precision as it successfully bypasses the mode aliasing problem of EMD resulting by the lack of mathematical basis. Second, the improved S-G filter effectively suppresses the noisy components of the wavelet coefficients by updating its one key parameter (i.e., window size w) dynamically according to the correlation coefficients between the raw signals and the decomposed wavelet coefficients. The EWT-ASG scheme was first applied on the oxygen concentration detection for pharmaceutical glass vials. The preliminary experimental results indicate that the EWT-ASG method performs better than recent state-of-the-arts, with an average correct discrimination rate of 98.14% when the normalized SNR is 1. Even when the normalized SNR is degenerated from 1 to 0.85, our detection system still survived well, with a highest average correct discrimination rate of 90.45%. The detection system precision is also improved to a large extent, with a minimal Allan deviation of 0.856@(117s). |
| format | Article |
| id | doaj-art-9efd5f9f070248d9a1eb0bf0e92c496c |
| institution | Matheson Library |
| issn | 1943-0655 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Photonics Journal |
| spelling | doaj-art-9efd5f9f070248d9a1eb0bf0e92c496c2025-07-01T23:50:53ZengIEEEIEEE Photonics Journal1943-06552020-01-0112311210.1109/JPHOT.2020.29921359085937EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLASJianjun He0https://orcid.org/0000-0003-2971-1829Cao Song1https://orcid.org/0000-0003-2401-2084Qiwu Luo2https://orcid.org/0000-0003-2822-5538Chunhua Yang3https://orcid.org/0000-0003-2550-1509Weihua Gui4https://orcid.org/0000-0002-5337-6445The School of Automation, Central South University, Changsha, ChinaThe School of Automation, Central South University, Changsha, ChinaThe School of Automation, Central South University, Changsha, ChinaThe School of Automation, Central South University, Changsha, ChinaThe School of Automation, Central South University, Changsha, ChinaInspired by the empirical mode decomposition (EMD)-enhanced gas detection work, this paper develops a further improved signal reconstruction method (namely EWT-ASG) for the demodulated harmonics of tunable diode laser absorption spectroscopy (TDLAS), which is mainly based on empirical wavelet transform (EWT) and Savitzky-Golay (S-G) filtering. First, the imported EWT performs better on the decomposition precision as it successfully bypasses the mode aliasing problem of EMD resulting by the lack of mathematical basis. Second, the improved S-G filter effectively suppresses the noisy components of the wavelet coefficients by updating its one key parameter (i.e., window size w) dynamically according to the correlation coefficients between the raw signals and the decomposed wavelet coefficients. The EWT-ASG scheme was first applied on the oxygen concentration detection for pharmaceutical glass vials. The preliminary experimental results indicate that the EWT-ASG method performs better than recent state-of-the-arts, with an average correct discrimination rate of 98.14% when the normalized SNR is 1. Even when the normalized SNR is degenerated from 1 to 0.85, our detection system still survived well, with a highest average correct discrimination rate of 90.45%. The detection system precision is also improved to a large extent, with a minimal Allan deviation of 0.856@(117s).https://ieeexplore.ieee.org/document/9085937/Oxygen detectionempirical wavelet transform (EWT)signal reconstructionopen-path optical environment |
| spellingShingle | Jianjun He Cao Song Qiwu Luo Chunhua Yang Weihua Gui EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS IEEE Photonics Journal Oxygen detection empirical wavelet transform (EWT) signal reconstruction open-path optical environment |
| title | EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS |
| title_full | EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS |
| title_fullStr | EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS |
| title_full_unstemmed | EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS |
| title_short | EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS |
| title_sort | ewt asg empirical wavelet transform with adaptive savitzky x2013 golay filtering for tdlas |
| topic | Oxygen detection empirical wavelet transform (EWT) signal reconstruction open-path optical environment |
| url | https://ieeexplore.ieee.org/document/9085937/ |
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