E
E. Dalgaard
Researcher at Aarhus University
Publications - 13
Citations - 359
E. Dalgaard is an academic researcher from Aarhus University. The author has contributed to research in topics: Noise & Noise measurement. The author has an hindex of 6, co-authored 11 publications receiving 281 citations.
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Journal ArticleDOI
Adaptive noise cancelling of multichannel magnetic resonance sounding signals
TL;DR: The results show that within the experimental uncertainty the two methods give identical results, and the design and the efficiency of different stacking methods are compared to time-domain multichannel Wiener filtering.
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Noise cancelling of MRS signals combining model-based removal of powerline harmonics and multichannel Wiener filtering
TL;DR: It is shown that noise cancelling can be improved if the multiple origins of noise are taken into account and a method is developed where powerline harmonics are efficiently removed through a modelbased approach.
Journal ArticleDOI
Nitrate reduction in geologically heterogeneous catchments--a framework for assessing the scale of predictive capability of hydrological models.
Jens Christian Refsgaard,Esben Auken,Charlotte A. Bamberg,Britt Christensen,Thomas Clausen,E. Dalgaard,Flemming Effersø,Vibeke Ernstsen,Flemming Gertz,Anne Lausten Hansen,Xin He,Brian H. Jacobsen,Karsten Høgh Jensen,Flemming Jørgensen,Lisbeth Flindt Jørgensen,Julian Koch,Bertel Nilsson,Christian Petersen,Guillaume De Schepper,Cyril Schamper,Kurt Sørensen,René Therrien,Christian Thirup,Andrea Viezzoli +23 more
TL;DR: This work presents a framework for assessing nitrate reduction in the subsurface and for assessing at which spatial scales modelling tools have predictive capabilities and the flow paths within the catchment are simulated.
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A comprehensive study of parameter determination in a joint MRS and TEM data analysis scheme
TL;DR: In this article, a comprehensive study of the parameter determination of magnetic resonance sounding (MRS) models in a joint MRS and transient electromagnetic (TEM) data analysis scheme is presented.
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A temporal and spatial analysis of anthropogenic noise sources affecting SNMR
TL;DR: In this paper, the authors developed a multichannel instrument, noiseCollector, which measures the full noise spectrum up to 10 kHz and combined with advanced signal processing can interpret the noise as seen by a SNMR instrument and also obtain insight into the more fundamental behavior of the noise.