Adaptive Sampling for Terahertz Time-Domain Spectroscopy and Imaging
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AbstractWe propose an adaptive sampling algorithm to improve the acquisition efficiency for terahertz time-domain spectroscopy (THz-TDS). Most THz-TDS measurements scan the delay line with constant speed and the data acquired have constant time steps. Our algorithm exploits the fact that the useful information within THz signals tends to cluster at certain positions: efficient sampling can be done by adaptively increasing the sample rate in regions containing more interesting features. The algorithm was implemented by programming a linear optical delay line. Depending on the experiment parameters, the sampling time of a pulse can be reduced by a factor of 2-3 with only slight degradation in accuracy, possible sources of error are discussed. We show how adaptive sampling algorithms can improve the acquisition time in applications where the main pulse is the primary concern.
All Author(s) ListYuezhi He, Edward Parrott, Emma Pickwell‐MacPherson
Journal nameIEEE Transactions on Terahertz Science & Technology
Year2017
Month3
Volume Number7
Issue Number2
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages118 - 123
ISSN2156-342X
eISSN2156-3446
LanguagesEnglish-United States
KeywordsAdaptive sampling, delay line, terahertz (THz)

Last updated on 2021-17-10 at 00:04