Comparison for two deconvolution techniques of terahertz signal

Haishun Liu; Zhenwei Zhang; Cunlin Zhang; Donghai Han

doi:10.1117/12.2537644

18 November 2019 Comparison for two deconvolution techniques of terahertz signal

Haishun Liu, Zhenwei Zhang, Cunlin Zhang, Donghai Han

Proceedings Volume 11196, Infrared, Millimeter-Wave, and Terahertz Technologies VI; 111960T (2019) https://doi.org/10.1117/12.2537644
Event: SPIE/COS Photonics Asia, 2019, Hangzhou, China

Abstract

The inevitable noises and oscillation of generated terahertz (THz) signal subject to mechanism of hardware could distort and affect optical properties of the measured materials. Several well-known techniques used to attenuate oscillation and noises could achieve expectation. In this work, a piece of fractal artwork was chosen as the sample. Double Gaussian filtered inverse filtering (DGIF) and Hanning window inverse filtering (HIF) deconvolution techniques were employed to remove the oscillation of raw signal and ripples of THz B-scan image. A technique of composite multiscale entropy (CMSE) on complexity assessment of time series was introduced to compare the entropy profiles of the raw signal and two deconvovled signals.

Citation Download Citation

Haishun Liu, Zhenwei Zhang, Cunlin Zhang, and Donghai Han "Comparison for two deconvolution techniques of terahertz signal", Proc. SPIE 11196, Infrared, Millimeter-Wave, and Terahertz Technologies VI, 111960T (18 November 2019); https://doi.org/10.1117/12.2537644

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