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
- 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/).
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 - 10.2991/isrme-15.2015.261 ID - Li2015/04 ER -