NDLI: Terahertz Non-destructive Evaluation of Layered Media with the Maximum Likelihood Estimator

Content Provider	IEEE Xplore Digital Library
Author	Schecklman, S. Kniffin, G.P. Zurk, L.M.
Copyright Year	2014
Description	Author affiliation: Coll. of Electr. & Comput. Eng., Portland State Univ., Portland, OR, USA (Schecklman, S.; Kniffin, G.P.; Zurk, L.M.)
Abstract	Terahertz (THz) non-destructive evaluation (NDE) has shown great promise for applications in manufacturing, security screening, and medical imaging. However, interpretation of the THz A-scans is complicated by a number of factors. Other researchers have applied signal processing techniques that improve object boundary detection, but still rely on human interpretation without a statistical framework that provides automated detection. This work presents a statistical signal processing algorithm to detect boundaries/defects in THz NDE data based on techniques that have traditionally been used to detect targets in radar/sonar applications. It is demonstrated that this method provides better signal-to-noise ratio (SNR) in the processed waveform along with a mature mathematical framework for analysis of measured data.
Starting Page	81
Ending Page	85
File Size	852354
Page Count	5
File Format	PDF
ISBN	9781467367523
DOI	10.1109/ISOT.2014.27
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-11-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum likelihood estimation Deconvolution Matched filter Non-destructive evaluation (NDE) Media Time measurement Terahertz (THz) Statistical signal processing Signal to noise ratio
Content Type	Text
Resource Type	Article

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