Adaptive Blind source Separation with Dynamical Changing Source Number

DOI

10.2991/iccsee.2013.302How to use a DOI?

Keywords

number of source signals, dynamical changes, self-adaptation, blind source separation

Abstract

Analyzed the reason why the overdetermined blind signal separation of natural gradient algorithm ultimate not stably converge, constructed an adaptive blind separation algorithm suitable for dynamically changing source number. The new algorithm not only overcomes the shortcoming of eventually not stable convergence, but it also need not to delete the redundancies according to the correlation of the output components, which greatly simplifies the computational complexity of the algorithm. Randomly reduce or increase the number of source signals is still able to achieve a better separation effect, simulation results demonstrate the convergence of the algorithm and its effectiveness for blind source separation.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Donghui Xu
AU  - DongDong Yang
AU  - HongGuang Ma
AU  - Wenpu Guo
AU  - Hui Li
PY  - 2013/03
DA  - 2013/03
TI  - Adaptive Blind source Separation with Dynamical Changing Source Number
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 1200
EP  - 1204
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.302
DO  - 10.2991/iccsee.2013.302
ID  - Xu2013/03
ER  -