A Method for Improving the Robustness of linear Kramers-Kronig Validity Tests

By M. Schönleber, Dino Klotz, E. Ivers-Tiffée. 2014

483 citations recorded by the source corpus.

Subfields: Automotive Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/5fb7d93ab7603928fb6bec72bbf84c58f56d3db0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Automotive Engineering

1. Marco Grossi
2. Bruno Riccò
3. F. Ciucci

In Electrical and Electronic Engineering

1. Jiapeng Liu
2. T. Wan
3. F. Ciucci
4. Marco Grossi
5. Bruno Riccò

In Mechanical Engineering

1. Jiapeng Liu
2. F. Ciucci
3. T. Wan
4. Marco Grossi
5. Bruno Riccò

Citations in the corpus

• Electrical impedance spectroscopy (EIS) for biological analysis and food characterization: a review (2017, methodology): “A practical implementation of the KK test has been proposed by Urquidi-Macdonald et al. (1990), where polynomial extrapolation was suggested outside the measured frequency range (Boukamp, 1995; Schönleber et al., 2014) where a chain of parallel RC elements is used to model impedance data.”
• A Bayesian view on the Hilbert transform and the Kramers-Kronig transform of electrochemical impedance data: Probabilistic estimates and quality scores (2020, background): “[1, 18] Compliance with these properties can be evaluated experimentally, for example, by varying the EIS measurement settings systematically[19] or by broadband excitation.”