Resource allocation for distributed blind source separation

Bachmann M, Brendel A, Kellermann W (2018)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2018

Pages Range: 91-95

Event location: Oldenburg DE

ISBN: 978-3-8007-4767-2

Abstract

The real-time capability of the TRINICON (TRIple-N-
Independent component analysis for CONvolutive mix-
tures) framework for Blind Source Separation (BSS) is not
guaranteed for devices of low computational power like
the ones typically used in sensor networks. In order to
ensure real-time capability in this case, as many algorith-
mic parts as possible are distributed on the available nodes.
This should lead to an optimal resource exploitation for a
given network model which accounts for the data rates and
latencies of the links between the nodes and for the compu-
tational power of the nodes themselves. The simulation re-
sults for homogeneous and heterogeneous networks show
that TRINICON-BSS is still possible even if the adaptation
exploits only parts of the originally intended signal.

Authors with CRIS profile

Markus Bachmann Lehrstuhl für Multimediakommunikation und Signalverarbeitung Andreas Brendel Professur für Signalverarbeitung Walter Kellermann Professur für Signalverarbeitung

How to cite

APA:

Bachmann, M., Brendel, A., & Kellermann, W. (2018). Resource allocation for distributed blind source separation. In Proceedings of the ITG Conference on Speech Communication (pp. 91-95). Oldenburg, DE.

MLA:

Bachmann, Markus, Andreas Brendel, and Walter Kellermann. "Resource allocation for distributed blind source separation." Proceedings of the ITG Conference on Speech Communication, Oldenburg 2018. 91-95.

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