157 citations · 285 across the 16 of their papers we have counts for
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A Distributed Adaptive Algorithm for Node-Specific Signal Fusion Problems in Wireless Sensor Networks
Cem Ates Musluoglu, Alexander Bertrand
Wireless sensor networks consist of sensor nodes that are physically distributed over different locations. Spatial filtering procedures exploit the spatial correlation across these…
Bandwidth-efficient distributed neural network architectures with application to body sensor networks
Thomas Strypsteen, Alexander Bertrand
In this paper, we describe a conceptual design methodology to design distributed neural network architectures that can perform efficient inference within sensor networks with commu…
A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems
Charles Hovine, Alexander Bertrand
Computing the optimal solution to a spatial filtering problems in a Wireless Sensor Network can incur large bandwidth and computational requirements if an approach relying on data…
Stimulus-Informed Generalized Canonical Correlation Analysis of Stimulus-Following Brain Responses
Simon Geirnaert, Tom Francart, Alexander Bertrand
In brain-computer interface or neuroscience applications, generalized canonical correlation analysis (GCCA) is often used to extract correlated signal components in the neural acti…
A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems -- Part II: Convergence Properties
Cem Ates Musluoglu, Charles Hovine, Alexander Bertrand
This paper studies the convergence conditions and properties of the distributed adaptive signal fusion (DASF) algorithm, the framework itself having been introduced in a `Part I' c…
A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems -- Part I: Algorithm Derivation
Cem Ates Musluoglu, Alexander Bertrand
In this paper, we describe a general algorithmic framework for solving linear signal or feature fusion optimization problems in a distributed setting, for example in a wireless sen…