An approach for automatic construction of the wavelet-domain de-noising procedure for THz pulsed spectroscopy signal processing

2nd Russia-Japan-USA Symposium on the Fundamental and Applied Problems of Terahertz Devices and Technologies

Zaytsev, Kirill I.^1 ; Chernomyrdin, Nikita V.^1 ; Gorevoy, Alexey V.^1 ; Trofimov, Nikolay E.^1 ; Fokina, Irina N.^1 ; Alekhnovich, Valentin I.^1 ; Karasik, Valeriy E.^1 ; Yurchenko, Stanislav O.^1

Bauman Moscow State Technical University, 2nd Baumanskaya str., 5, Moscow, 105005, Russia^1

关键词: Automatic construction;    De-noising algorithm;    Detector sensitivity;    Fast wavelet transform;    Internal structure;    Optimal wavelet basis;    Pulsed spectroscopy;    Terahertz pulsed spectroscopy;   

Others  :  https://iopscience.iop.org/article/10.1088/1742-6596/486/1/012034/pdf
DOI  :  10.1088/1742-6596/486/1/012034

来源: IOP

【 摘 要 】

De-noising of terahertz pulsed spectroscopy (TPS) signals is an essential problem, since a noise in the TPS data samples makes correct reconstruction of sample spectral dielectric properties and internal structure challenging. It is especially important for the spectral regions where detector sensitivity is typically low. A lot of effective techniques for 1D and 2D signal de-noising based on the signal processing in wavelet-domain have been developed in recent times. The present work demonstrates the ability to perform effective de-noising of pulsed spectroscopy signals using the algorithm of the Fast Wavelet Transform (FWT). The results of optimal wavelet basis selection and the results of adaptive wavelet-domain filter selection are reported. The performance of the wavelet-domain de-noising algorithm implementation is also discussed. A technique for automatic construction of the wavelet-domain de-noising procedure is offered.