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Numerical differentiation methods for the logarithmic derivative technique used in dielectric spectroscopy
Author(s) -
Henrik Haspel,
Ákos Kukovecz,
Zoltán Kónya,
Imre Kiricsi
Publication year - 2010
Publication title -
processing and application of ceramics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.326
H-Index - 15
eISSN - 2406-1034
pISSN - 1820-6131
DOI - 10.2298/pac1002087h
Subject(s) - dielectric , logarithmic derivative , logarithm , materials science , dielectric spectroscopy , permittivity , derivative (finance) , second derivative , relaxation (psychology) , distortion (music) , convolution (computer science) , computational physics , mathematical analysis , mathematics , physics , computer science , optoelectronics , psychology , social psychology , amplifier , electrode , cmos , quantum mechanics , financial economics , economics , electrochemistry , machine learning , artificial neural network
In dielectric relaxation spectroscopy the conduction contribution often hampers the evaluation of dielectric spectra, especially in the low-frequency regime. In order to overcome this the logarithmic derivative technique could be used, where the calculation of the logarithmic derivative of the real part of the complex permittivity function is needed. Since broadband dielectric measurement provides discrete permittivity function, numerical differentiation has to be used. Applicability of the Savitzky-Golay convolution method in the derivative analysis is examined, and a detailed investigation of the influential parameters (frequency, spectrum resolution, peak shape) is presented on synthetic dielectric data.

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