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Proceedings Paper

Comparison for two deconvolution techniques of terahertz signal
Author(s): Haishun Liu; Zhenwei Zhang; Cunlin Zhang; Donghai Han
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Paper 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.

Paper Details

Date Published: 18 November 2019
PDF: 6 pages
Proc. SPIE 11196, Infrared, Millimeter-Wave, and Terahertz Technologies VI, 111960T (18 November 2019); doi: 10.1117/12.2537644
Show Author Affiliations
Haishun Liu, Capital Normal Univ. (China)
Zhenwei Zhang, Capital Normal Univ. (China)
Cunlin Zhang, Capital Normal Univ. (China)
Donghai Han, China Agricultural Univ. (China)

Published in SPIE Proceedings Vol. 11196:
Infrared, Millimeter-Wave, and Terahertz Technologies VI
Cunlin Zhang; Xi-Cheng Zhang; Masahiko Tani, Editor(s)

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