What is he best known for?
The fields of study Marc Moonen is best known for:
- Signal subspace
- Noise reduction
- MIMO
In his work, Minimax is strongly intertwined with Mathematical optimization, which is a subfield of Karush–Kuhn–Tucker conditions.
His research on Minimax often connects related topics like Mathematical optimization.
His work in the fields of Hydrology (agriculture), such as Geotechnical engineering, overlaps with other areas such as Geomorphology.
Geotechnical engineering is frequently linked to Hydrology (agriculture) in his study.
Marc Moonen undertakes multidisciplinary studies into Telecommunications and Broadband in his work.
With his scientific publications, his incorporates both Broadband and Telecommunications.
He performs integrative Computer network and Network topology research in his work.
He undertakes interdisciplinary study in the fields of Network topology and Computer network through his research.
His multidisciplinary approach integrates Algorithm and Fast Fourier transform in his work.
His most cited work include:
- GSVD-based optimal filtering for single and multimicrophone speech enhancement (336 citations)
- Design of broadband beamformers robust against gain and phase errors in the microphone array characteristics (142 citations)
- Theoretical Analysis of Binaural Multimicrophone Noise Reduction Techniques (114 citations)
What are the main themes of his work throughout his whole career to date
By researching both Algorithm and Programming language, Marc Moonen produces research that crosses academic boundaries.
He merges Programming language with Algorithm in his research.
He performs multidisciplinary study in Telecommunications and Wireless in his work.
Marc Moonen regularly links together related areas like Noise reduction in his Artificial intelligence studies.
Borrowing concepts from Estimator, Marc Moonen weaves in ideas under Statistics.
He connects Estimator with Statistics in his research.
His research is interdisciplinary, bridging the disciplines of Renal function and Internal medicine.
His study on Renal function is mostly dedicated to connecting different topics, such as Internal medicine.
Marc Moonen connects Speech recognition with Artificial intelligence in his research.
Marc Moonen most often published in these fields:
- Algorithm (56.25%)
- Telecommunications (47.92%)
- Artificial intelligence (33.33%)
What were the highlights of his more recent work (between 2012-2022)?
- Mathematical analysis (40.00%)
- Computer network (40.00%)
- Combinatorics (40.00%)
In recent works Marc Moonen was focusing on the following fields of study:
Marc Moonen usually deals with Topology (electrical circuits) and limits it to topics linked to Combinatorics and Tree (set theory).
His study brings together the fields of Combinatorics and Tree (set theory).
His biological study deals with issues like Node (physics), which deal with fields such as Acoustics.
He performs multidisciplinary studies into Acoustics and Node (physics) in his work.
SIGNAL (programming language) is connected with Programming language and Real-time computing in his research.
He performs integrative study on Programming language and Algorithm.
He conducts interdisciplinary study in the fields of Algorithm and Computational complexity theory through his works.
He merges many fields, such as Real-time computing and SIGNAL (programming language), in his writings.
His work on Mathematical analysis is being expanded to include thematically relevant topics such as Linear system.
Between 2012 and 2022, his most popular works were:
- Distributed adaptive node-specific signal estimation in heterogeneous and mixed-topology wireless sensor networks (34 citations)
- Distributed LCMV Beamforming in a Wireless Sensor Network With Single-Channel Per-Node Signal Transmission (33 citations)
- Categories of Anticancer Treatments (7 citations)
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
