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Low Error Kramers-Kronig Estimations Using Symmetric Extrapolation Method.
Ruiz, G A; Felice, C J.
Afiliação
  • Ruiz GA; Laboratorio de Medios e Interfases, Departamento de Bioingeniería, FACET-UNT; INSIBIO-CONICET, Argentina.
  • Felice CJ; Laboratorio de Medios e Interfases, Departamento de Bioingeniería, FACET-UNT; INSIBIO-CONICET, Argentina.
J Electr Bioimpedance ; 12(1): 147-152, 2021 Jan.
Article em En | MEDLINE | ID: mdl-35069950
Kramers-Kronig (KK) equations allow us to obtain the real or imaginary part of linear, causal and time constant functions, starting from the imaginary or real part respectively. They are normally applied on different practical applications as a control method. A common problem in measurements is the lack of data in a wide-range frequency, due to some of the inherent limitations of experiments or practical limitations of the used technology. Different solutions to this problem were proved, such as several methods for extrapolation, some of which based on piecewise polynomial fit or the approach based on the expected asymptotical behavior. In this work, we propose an approach based on the symmetric extrapolation method to generate data in missing frequency ranges, to minimize the estimated error of the KK equations. The results show that with data from impedance measurements of an electrode-electrolyte interface, the adjustment error of the transformed functions can be drastically reduced to below 1%.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Electr Bioimpedance Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Argentina País de publicação: Polônia

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Electr Bioimpedance Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Argentina País de publicação: Polônia