Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering

A One-Stop BSS Analysis Method of Integrated System Signals Based on Wavelet Transform, FastICA and SOM

Authors
Hongyi Li, Liantao Ma, Bin Chen, Di Zhao
Corresponding Author
Hongyi Li
Available Online April 2015.
DOI
https://doi.org/10.2991/isrme-15.2015.261How to use a DOI?
Keywords
blind source separation; wavelet transform; FastICA; SOM
Abstract

This paper proposes a new one-stop blind source separation analysis method by combining wavelet transform, FastICA and self-organization mapping network. Firstly, we suppress the Gauss noises by using wavelet transform. Secondly, we separate the mixed signals utilizing FastICA to get the independent components. Finally, we cluster the signals with SOM to reveal the latent relationship of independent signals. Experimental results have shown the validity and effectiveness of the proposed method.

Copyright
© 2015, 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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Volume Title
Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
Series
Advances in Intelligent Systems Research
Publication Date
April 2015
ISBN
978-94-62520-59-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/isrme-15.2015.261How to use a DOI?
Copyright
© 2015, 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/).

Cite this article

TY  - CONF
AU  - Hongyi Li
AU  - Liantao Ma
AU  - Bin Chen
AU  - Di Zhao
PY  - 2015/04
DA  - 2015/04
TI  - A One-Stop BSS Analysis Method of Integrated System Signals Based on Wavelet Transform, FastICA and SOM
BT  - Proceedings of the 2015 International Conference on Intelligent Systems Research and Mechatronics Engineering
PB  - Atlantis Press
SP  - 1303
EP  - 1308
SN  - 1951-6851
UR  - https://doi.org/10.2991/isrme-15.2015.261
DO  - https://doi.org/10.2991/isrme-15.2015.261
ID  - Li2015/04
ER  -