Characterization And Modeling Of Drift Noise in Fourier Transform Spectroscopy: Implications For Signal Processing And Detection Limits

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dc.contributorVirginia Techen
dc.contributor.authorHazel, G.en
dc.contributor.authorBucholtz, F.en
dc.contributor.authorAggarwal, I. D.en
dc.contributor.departmentElectrical and Computer Engineeringen
dc.contributor.departmentFiber & ElectroOptics Research Center (FEORC)en
dc.date.accessed2014-02-24en
dc.date.accessioned2014-04-04T15:12:12Zen
dc.date.available2014-04-04T15:12:12Zen
dc.date.issued1997-05-01en
dc.description.abstractA theoretical analysis of long-term drift noise in Fourier transform spectroscopy is presented. Theoretical predictions are confirmed by experiment. Fractional Brownian motion is employed as a stochastic process model for drift noise. A formulation of minimum detectable signal is given that properly accounts for drift noise. The spectral exponent of the low-frequency drift noise is calculated from experimental data. A frequency-dependent optimal spectrum averaging time is found to exist beyond which the minimum detectable signal increases indefinitely. It is also shown that the minimum detectable signal in an absorbance or transmission measurement degrades indefinitely with the time elapsed since background spectrum acquisition. (C) 1997 Optical Society of America.en
dc.format.mimetypeapplication/pdfen
dc.identifier.citationGeoff Hazel, Frank Bucholtz, and Ishwar D. Aggarwal, "Characterization and modeling of drift noise in Fourier transform spectroscopy: implications for signal processing and detection limits," Appl. Opt. 36, 6751-6759 (1997). doi: 10.1364/ao.36.006751en
dc.identifier.doihttps://doi.org/10.1364/ao.36.006751en
dc.identifier.issn0003-6935en
dc.identifier.urihttp://hdl.handle.net/10919/46879en
dc.identifier.urlhttp://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-36-27-6751en
dc.language.isoenen
dc.publisherOptical Society of Americaen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectFourier transform spectroscopyen
dc.subjectFlicker noiseen
dc.subjectFractional brownianen
dc.subjectMotionen
dc.subjectMid-IR spectroscopyen
dc.subjectDrift noiseen
dc.subjectFractional brownian-motionen
dc.subject1/f noiseen
dc.titleCharacterization And Modeling Of Drift Noise in Fourier Transform Spectroscopy: Implications For Signal Processing And Detection Limitsen
dc.title.serialApplied Opticsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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