IMPROVING EXTRACTION OF IMPULSE RESPONSE FUNCTIONS USING STATIONARY WAVELET SHRINKAGE IN TERAHERTZ REFLECTION IMAGING
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AbstractIn terahertz imaging, deconvolution is often performed to extract the impulse response function of the sample of interest. The inverse filtering process amplifies the noise and in this paper we investigate how we can suppress the noise without over-smoothing and losing useful information. We propose a robust deconvolution process utilizing stationary wavelet shrinkage theory which shows significant improvement over other popular methods such as double Gaussian filtering. We demonstrate the success of our approach on experimental data of water and isopropanol.
All Author(s) ListChen Y, Sun YW, Pickwell-Macpherson E
Journal nameFluctuation and Noise Letters
Year2010
Month12
Day1
Volume Number9
Issue Number4
PublisherWORLD SCIENTIFIC PUBL CO PTE LTD
Pages387 - 394
ISSN0219-4775
LanguagesEnglish-United Kingdom
Keywordsdouble Gaussian filter; inverse filtering; stationary wavelet shrinkage following inverse filtering (SWSIF) deconvolution; Terahertz reflection spectroscopy
Web of Science Subject CategoriesMathematics; Mathematics, Interdisciplinary Applications; MATHEMATICS, INTERDISCIPLINARY APPLICATIONS; Physics; Physics, Applied; PHYSICS, APPLIED

Last updated on 2020-21-11 at 00:35