Denys J. Grombacher

According to our database, Denys J. Grombacher authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Processing Time-Domain Induced Polarization Data Using Variational Mode Decomposition.

Khuram Naveed, Line Meldgaard Madsen, Denys J. Grombacher, Jakob Juul Larsen

IEEE Trans. Geosci. Remote. Sens., 2024

2023

Signal Processing Steady-State Surface NMR Data.

Lichao Liu, Denys J. Grombacher, Matthew P. Griffiths, Mathias Ø. Vang, Jakob Juul Larsen

IEEE Trans. Instrum. Meas., 2023

2022

Forward Modeling Steady-State Free Precession in Surface NMR.

Matthew P. Griffiths, Denys J. Grombacher, Lichao Liu, Mathias Ø. Vang, Jakob Juul Larsen

IEEE Trans. Geosci. Remote. Sens., 2022

A Neural Network-Based Hybrid Framework for Least-Squares Inversion of Transient Electromagnetic Data.

Muhammad Rizwan Asif, Thue S. Bording, Pradip K. Maurya, Bo Zhang, Gianluca Fiandaca, Denys J. Grombacher, Anders Vest Christiansen, Esben Auken, Jakob Juul Larsen

IEEE Trans. Geosci. Remote. Sens., 2022

Fast Removal of Powerline Harmonic Noise From Surface NMR Datasets Using a Projection-Based Approach on Graphical Processing Units.

Anders Kjær-Rasmussen, Matthew P. Griffiths, Denys J. Grombacher, Jakob Juul Larsen

IEEE Geosci. Remote. Sens. Lett., 2022

2021

Mitigating Narrowband Noise Sources Close to the Larmor Frequency in Surface NMR.

Denys J. Grombacher, Lichao Liu, Gordon K. Osterman, Jakob Juul Larsen

IEEE Geosci. Remote. Sens. Lett., 2021

Effect of Data Pre-Processing on the Performance of Neural Networks for 1-D Transient Electromagnetic Forward Modeling.

Muhammad Rizwan Asif, Thue S. Bording, Adrian S. Barfod, Denys J. Grombacher, Pradip K. Maurya, Anders Vest Christiansen, Esben Auken, Jakob Juul Larsen

IEEE Access, 2021

2018

Removal of Co-Frequency Powerline Harmonics From Multichannel Surface NMR Data.

Lichao Liu, Denys J. Grombacher, Esben Auken, Jakob Juul Larsen

IEEE Geosci. Remote. Sens. Lett., 2018