Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Aarhus University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2016Symmetry based frequency domain processing to remove harmonic noise from surface nuclear magnetic resonance measurements9citations
  • 2016Doubling the spectrum of time-domain induced polarization: removal of non-linear self-potential drift, harmonic noise and spikes, tapered gating, and uncertainty estimationcitations

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Chart of shared publication
Parsekian, Andrew D.
1 / 1 shared
Hein, Annette
1 / 1 shared
Olsson, Per-Ivar
1 / 1 shared
Dahlin, Torleif
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Fiandaca, Gianluca
1 / 3 shared
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2016

Co-Authors (by relevance)

  • Parsekian, Andrew D.
  • Hein, Annette
  • Olsson, Per-Ivar
  • Dahlin, Torleif
  • Fiandaca, Gianluca
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document

Doubling the spectrum of time-domain induced polarization: removal of non-linear self-potential drift, harmonic noise and spikes, tapered gating, and uncertainty estimation

  • Olsson, Per-Ivar
  • Dahlin, Torleif
  • Fiandaca, Gianluca
  • Larsen, Jakob Juul
Abstract

This paper presents an advanced signal processing scheme for time-domain induced polarization full waveform data. The scheme includes several steps with an improved induced polarization (IP) response gating design using convolution with tapered windows to suppress high frequency noise, a logarithmic gate width distribution for optimizing IP data quality and an estimate of gating uncertainty. Additional steps include modelling and cancelling of non-linear background drift and harmonic noise and a technique for efficiently identifying and removing spikes. The cancelling of non-linear background drift is based on a Cole-Cole model which effectively handles current induced electrode polarization drift. The<br/>model-based cancelling of harmonic noise reconstructs the harmonic noise as a sum of harmonic signals with a common fundamental frequency. After segmentation of the signal and determining of noise model parameters for<br/>each segment, a full harmonic noise model is subtracted. Furthermore, the uncertainty of the background drift removal is estimated which together with the gating uncertainty estimate and a uniform uncertainty gives a total, data-driven, error estimate for each IP gate. The processing steps is successfully applied on full field profile data sets. With the model-based cancelling of harmonic noise, the first usable IP gate is moved one decade closer to time zero. Furthermore, with a Cole-Cole background drift model the shape of the response at late times is accurately retrieved. In total, this processing scheme achieves almost fourdecades in time and thus doubles the available spectral information content of the IP responses compared to the traditional processing.

Topics
  • impedance spectroscopy