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Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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ZENODO
Software . 2019
License: http://opensource.org/licenses/MIT
Data sources: ZENODO
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ZENODO
Software . 2019
License: https://opensource.org/licenses/MIT
Data sources: Datacite
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Modeling Parameters from the Paper "A Stochastic Channel Model for Ultra Wideband In-Body Communication"

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Jul 2019Publisher:Zenodo
Authors: Brumm, Jan-Christoph; Strohm, Hannah; Bauch, Gerhard;

doi: 10.5281/zenodo.2543517 , 10.5281/zenodo.2543516

Modeling Parameters from the Paper "A Stochastic Channel Model for Ultra Wideband In-Body Communication"

Abstract

The provided data contains the modeling parameters and a Python script to generate random transfer functions for ultra wideband in-body communication as described in [BSB19] J.-C. Brumm, H. Strohm and G. Bauch, “A Stochastic Channel Model for UWB In-Body Communication,” in 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2019). Berlin, Germany, 2019. More information can be found in our GitLab repository https://collaborating.tuhh.de/int/in-body/inbodychannel.

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Keywords

In-body communication, Ultra wideband, Capsule endoscopy, Stochastic Channel Model

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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