Search Results for author: Charles Hovine

Found 4 papers, 1 papers with code

Distributed Adaptive Spatial Filtering with Inexact Local Solvers

no code implementations6 May 2024 Charles Hovine, Alexander Bertrand

The Distributed Adaptive Signal Fusion (DASF) framework is a meta-algorithm for computing data-driven spatial filters in a distributed sensing platform with limited bandwidth and computational resources, such as a wireless sensor network.

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems in Wireless Sensor Networks

no code implementations13 Mar 2024 Charles Hovine, Alexander Bertrand

A wireless sensor network often relies on a fusion center to process the data collected by each of its sensing nodes.

A Distributed Adaptive Algorithm for Non-Smooth Spatial Filtering Problems

no code implementations27 Oct 2022 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 centralization is used.

A Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems -- Part II: Convergence Properties

1 code implementation18 Aug 2022 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' companion paper.

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