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20222024
most citedA Unified Algorithmic Framework for Distributed Adaptive Signal and Feature Fusion Problems -- Part I: Algorithm Derivation

15 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

eess.SP2024★ 6 cited

Distributed Blind Source Separation based on FastICA

Cem Ates Musluoglu, Alexander Bertrand

With the emergence of wireless sensor networks (WSNs), many traditional signal processing tasks are required to be computed in a distributed fashion, without transmissions of the r…

eess.SP2023

Distributed Adaptive Signal Fusion for Fractional Programs

Cem Ates Musluoglu, Alexander Bertrand

The distributed adaptive signal fusion (DASF) framework allows to solve spatial filtering optimization problems in a distributed and adaptive fashion over a bandwidth-constrained w…

eess.SP2022

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…

eess.SP2022★ 11 cited

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…

eess.SP2022★ 15 cited

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…