Convolutive Blind Source Separation based on Wavelet De-noising

DOI

10.2991/iccia.2012.195How to use a DOI?

Keywords

Convolutive mixture, Time-Domain Blind Source Separation, Communication Signals, Wavelet Denoising

Abstract

The paper discusses the time-domain blind seperation applied to communication signals, using an ICA algorithm EFICA together with a wavelet de-noising processing method. In the Blind source separation system, regardless of the mixed signals and separated signals, noise pollution occurs frequently, it increases the complexity of BSS and the difficulty of dealing with the aftermath. So an automatic method of and wavelet de-noising processing is proposed finally. It yields good results in the experiment and improves the performance of BSS system.

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  - Hongbin Zhang
AU  - Pengfei Xu
PY  - 2014/05
DA  - 2014/05
TI  - Convolutive Blind Source Separation based on Wavelet De-noising
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 807
EP  - 810
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.195
DO  - 10.2991/iccia.2012.195
ID  - Zhang2014/05
ER  -