Resource allocation for distributed blind source separation

Conference contribution
(Conference Contribution)

Publication Details

Author(s): Bachmann M, Brendel A, Kellermann W
Publication year: 2018
Pages range: 91-95
ISBN: 978-3-8007-4767-2
Language: English


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.

FAU Authors / FAU Editors

Bachmann, Markus
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Brendel, Andreas
Professur für Nachrichtentechnik
Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik

How to cite

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.

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.


Last updated on 2019-03-06 at 07:09