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ICASSP
2011
IEEE

Distributed blind source separation with an application to audio signals

9 years 3 months ago
Distributed blind source separation with an application to audio signals
A scalable blind source separation paradigm aimed at sensor networks is described. The approach facilitates an unlimited number of sensors and sources and does not require a fusion centre. It is based on a so-called ownership principle, where each network node aims to extract (own) a source signal that is not already extracted (owned) by another network node. Nodes that own a source signal broadcast that signal to user nodes outside the network. Nodes that do not currently own a source signal do not transmit information and can be active intermittently. A natural application of the method is a distributed microphone network in a multi-talker environment, with as user nodes hearing aids or telephone interface devices. Such a network can stretch across buildings or neighbourhoods. Simulations using independent component analysis (ICA) indicate the validity of the principles of the method.
Yusuke Hioka, W. Bastiaan Kleijn
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Yusuke Hioka, W. Bastiaan Kleijn
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