EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS

التفاصيل البيبلوغرافية
العنوان: EWT-ASG: Empirical Wavelet Transform With Adaptive Savitzky–Golay Filtering for TDLAS
المؤلفون: Qiwu Luo, Weihua Gui, Chunhua Yang, Song Cao, Jianjun He
المصدر: IEEE Photonics Journal. 12:1-12
بيانات النشر: Institute of Electrical and Electronics Engineers (IEEE), 2020.
سنة النشر: 2020
مصطلحات موضوعية: Tunable diode laser absorption spectroscopy, Signal reconstruction, 010401 analytical chemistry, Wavelet transform, 020206 networking & telecommunications, 02 engineering and technology, Filter (signal processing), 01 natural sciences, Atomic and Molecular Physics, and Optics, Hilbert–Huang transform, 0104 chemical sciences, Wavelet, Aliasing, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Allan variance, Algorithm, Mathematics
الوصف: 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).
تدمد: 1943-0647
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::8e368a378f5c12227ab49d1c0cfe02ee
https://doi.org/10.1109/jphot.2020.2992135
حقوق: OPEN
رقم الأكسشن: edsair.doi...........8e368a378f5c12227ab49d1c0cfe02ee
قاعدة البيانات: OpenAIRE