As part of one scientific family, Alexander Bertrand deals mainly with the area of Filter (signal processing), narrowing it down to issues related to the Computer vision, and often Wiener filter and Artifact (error). His Wiener filter study frequently links to other fields, such as Algorithm. Alexander Bertrand connects Algorithm with Distributed computing in his study. He performs integrative study on Distributed computing and Wireless sensor network. Alexander Bertrand incorporates Wireless sensor network and Sensor fusion in his studies. As part of his studies on Artifact (error), Alexander Bertrand often connects relevant areas like Computer vision. Artificial intelligence connects with themes related to Regularization (linguistics) in his study. He performs multidisciplinary study on Computer network and Asynchronous communication in his works. In his papers, Alexander Bertrand integrates diverse fields, such as Telecommunications and Bandwidth (computing).
His studies link Noise reduction with Artificial intelligence. His work often combines Algorithm and Mathematical optimization studies. His multidisciplinary approach integrates Mathematical optimization and Algorithm in his work. His studies link Decoding methods with Telecommunications. Alexander Bertrand merges Computer network with Real-time computing in his study. With his scientific publications, his incorporates both Real-time computing and Computer network. He performs multidisciplinary study in the fields of Wireless sensor network and Key distribution in wireless sensor networks via his papers. Key distribution in wireless sensor networks and Wireless sensor network are two areas of study in which Alexander Bertrand engages in interdisciplinary work. Borrowing concepts from Artificial intelligence, he weaves in ideas under Speech recognition.
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Applications and trends in wireless acoustic sensor networks: A signal processing perspective
Alexander Bertrand.
symposium on communications and vehicular technology in the benelux (2011)
Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part I: Sequential Node Updating
Alexander Bertrand;Marc Moonen.
IEEE Transactions on Signal Processing (2010)
Auditory-Inspired Speech Envelope Extraction Methods for Improved EEG-Based Auditory Attention Detection in a Cocktail Party Scenario
Wouter Biesmans;Neetha Das;Tom Francart;Alexander Bertrand.
international conference of the ieee engineering in medicine and biology society (2017)
A generic EEG artifact removal algorithm based on the multi-channel Wiener filter.
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Journal of Neural Engineering (2018)
EEG-Informed Attended Speaker Extraction From Recorded Speech Mixtures With Application in Neuro-Steered Hearing Prostheses
Simon Van Eyndhoven;Tom Francart;Alexander Bertrand.
IEEE Transactions on Biomedical Engineering (2017)
Distributed Adaptive Estimation of Node-Specific Signals in Wireless Sensor Networks With a Tree Topology
A Bertrand;M Moonen.
IEEE Transactions on Signal Processing (2011)
Distributed Adaptive Node-Specific Signal Estimation in Fully Connected Sensor Networks—Part II: Simultaneous and Asynchronous Node Updating
Alexander Bertrand;Marc Moonen.
IEEE Transactions on Signal Processing (2010)
Diffusion Bias-Compensated RLS Estimation Over Adaptive Networks
A. Bertrand;M. Moonen;A. H. Sayed.
IEEE Transactions on Signal Processing (2011)
Optimal distributed minimum-variance beamforming approaches for speech enhancement in wireless acoustic sensor networks
Shmulik Markovich-Golan;Alexander Bertrand;Marc Moonen;Sharon Gannot.
Signal Processing (2015)
Consensus-Based Distributed Total Least Squares Estimation in Ad Hoc Wireless Sensor Networks
A Bertrand;M Moonen.
IEEE Transactions on Signal Processing (2011)
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