2017
DOI: 10.1007/s10008-017-3873-z
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Discrete version of Wiener-Khinchin theorem for Chebyshev’s spectrum of electrochemical noise

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Cited by 7 publications
(1 citation statement)
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“…27 Many procedures to remove drift have been presented so far, including linear trend removal, 28 polynomial fitting, digital filtering, 29 wavelet transform, empirical mode decomposition, 30 or employment of a discrete version of the Wiener-Khinchin theorem. 31 Nevertheless, selecting the ideal method to deal with the baseline problem and to distinguish the drift from the useful information remains open.…”
Section: Department Of Materials Science and Engineering Ntnu Norwementioning
confidence: 99%
“…27 Many procedures to remove drift have been presented so far, including linear trend removal, 28 polynomial fitting, digital filtering, 29 wavelet transform, empirical mode decomposition, 30 or employment of a discrete version of the Wiener-Khinchin theorem. 31 Nevertheless, selecting the ideal method to deal with the baseline problem and to distinguish the drift from the useful information remains open.…”
Section: Department Of Materials Science and Engineering Ntnu Norwementioning
confidence: 99%