9 citations · 14 across the 7 of their papers we have counts for
3 papers · 1 filter
Gravitational Clustering: A Simple, Robust and Adaptive Approach for Distributed Networks
Patricia Binder, Michael Muma, Abdelhak M. Zoubir
Distributed signal processing for wireless sensor networks enables that different devices cooperate to solve different signal processing tasks. A crucial first step is to answer th…
A New Sparse and Robust Adaptive Lasso Estimator for the Independent Contamination Model
Jasin Machkour, Michael Muma, Bastian Alt +1
Many problems in signal processing require finding sparse solutions to under-determined, or ill-conditioned, linear systems of equations. When dealing with real-world data, the pre…
Distributed Multi-Speaker Voice Activity Detection for Wireless Acoustic Sensor Networks
Mohamad Hasan Bahari, L. Khadidja Hamaidi, Michael Muma +4
A distributed multi-speaker voice activity detection (DM-VAD) method for wireless acoustic sensor networks (WASNs) is proposed. DM-VAD is required in many signal processing applica…