61 citations · 245 across the 30 of their papers we have counts for
6 papers · 1 filter
Rate-Distributed Spatial Filtering Based Noise Reduction in Wireless Acoustic Sensor Networks
Jie Zhang, Richard Heusdens, Richard C. Hendriks
In wireless acoustic sensor networks (WASNs), sensors typically have a limited energy budget as they are often battery driven. Energy efficiency is therefore essential to the desig…
A Low-Cost Robust Distributed Linearly Constrained Beamformer for Wireless Acoustic Sensor Networks with Arbitrary Topology
Andreas I. Koutrouvelis, Thomas W. Sherson, Richard Heusdens +1
We propose a new robust distributed linearly constrained beamformer which utilizes a set of linear equality constraints to reduce the cross power spectral density matrix to a block…
On Relationship between Primal-Dual Method of Multipliers and Kalman Filter
Guoqiang Zhang, W. Bastiaan Kleijn, Richard Heusdens
Recently the primal-dual method of multipliers (PDMM), a novel distributed optimization method, was proposed for solving a general class of decomposable convex optimizations over g…
Derivation and Analysis of the Primal-Dual Method of Multipliers Based on Monotone Operator Theory
Thomas Sherson, Richard Heusdens, W. Bastiaan Kleijn
In this paper we present a novel derivation for an existing node-based algorithm for distributed optimisation termed the primal-dual method of multipliers (PDMM). In contrast to it…
Microphone Subset Selection for MVDR Beamformer Based Noise Reduction
Jie Zhang, Sundeep Prabhakar Chepuri, Richard C. Hendriks +1
In large-scale wireless acoustic sensor networks (WASNs), many of the sensors will only have a marginal contribution to a certain estimation task. Involving all sensors increases t…
Distributed Optimization Using the Primal-Dual Method of Multipliers
G. Zhang, R. Heusdens
In this paper, we propose the primal-dual method of multipliers (PDMM) for distributed optimization over a graph. In particular, we optimize a sum of convex functions defined over…