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dc.contributor.authorDorney, Timothy D.
Baraniuk, Richard G.
Mittleman, Daniel M.
dc.creatorDorney, Timothy D.
Baraniuk, Richard G.
Mittleman, Daniel M.
dc.date.accessioned 2007-10-31T00:42:48Z
dc.date.available 2007-10-31T00:42:48Z
dc.date.issued 2000-04-01
dc.date.submitted 2000-04-01
dc.identifier.citation T. D. Dorney, R. G. Baraniuk and D. M. Mittleman, "Spectroscopic Imaging using Terahertz Time-Domain Signals," 2000.
dc.identifier.urihttps://hdl.handle.net/1911/19859
dc.description Conference Paper
dc.description.abstract Imaging systems based on terahertz time-domain spectroscopy offer a range of unique modalities due to the broad bandwidth, sub-picosecond duration, and phase-sensitive detection of the terahertz pulses. Furthermore, an exciting possibility exists to combine spectroscopic characterization and/or identification with imaging because the radiation is broadband in nature. In order to achieve this, novel methods for real-time analysis of terahertz waveforms are required. Unfortunately, both the absorption and the phase delay of a transmitted terahertz pulse vary exponentially with the sample's thickness. We describe a robust algorithm for extracting both the thickness and the complex index of refraction of an unknown sample. In contrast, most spectroscopic transmission measurements require accurate knowledge of the sample's thickness to determine the optical parameters. We also investigate the limits of our method.
dc.language.iso eng
dc.subject.otherDSP for Communications
dc.title Spectroscopic Imaging using Terahertz Time-Domain Signals
dc.type Conference paper
dc.date.note 2006-06-07
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-07
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.citation.location Austin, TX
dc.citation.conferenceName IEEE Southwest Symposium on Image Analysis and Interpretation
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1109/IAI.2000.839590
dc.citation.firstpage 151
dc.citation.lastpage 155


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1426]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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