Daan H. M. Schellekens — accepted AI-conference papers

2017

Quantisation effects in PDMM: A first study for synchronous distributed averaging

Daan H. M. Schellekens, Thomas Sherson, Richard Heusdens

ICASSP 2017accepted

Large-scale networks of computing units, often characterised by the absence of central control, have become commonplace in many applications. To facilitate data processing in these large-scale networks, distributed signal processing is required. The iterative behaviour of distributed processing algo…

Cited by 0 Source ↗Scholar ↗

2016

Time domain acoustic contrast control implementation of sound zones for low-frequency input signals

Daan H. M. Schellekens, Martin Bo Møller, Martin Olsen

ICASSP 2016accepted

Sound zones are two or more regions within a listening space where listeners are provided with personal audio. Acoustic contrast control (ACC) is a sound zoning method that maximizes the average squared sound pressure in one zone constrained to constant pressure in other zones. State-of-the-art time…

Cited by 17 Source ↗Scholar ↗