A new joint algorithm based on EMD-ICA to reduce the cross-term in Wigner-Vill distribution

DOI

10.2991/iccsee.2013.527How to use a DOI?

Keywords

Wigner-Vill distribution, cross-term, EMD, ICA

Abstract

Wigner-Vill distribution (WVD) will inevitably have cross-terms when it used for time-frequency representation in a multi-component signal. In order to suppress the cross-terms in Wigner-Vill distribution, this paper proposes a joint algorithm based on EMD-ICA. This algorithm resolves a multi-component signal into several IMF components used by EMD at first, and then each IMF component is used FastICA algorithm for processing, and next seeks the Wigner-Vill distribution of each component, finally, add up the results. This method effectively inhibited the emergence of cross-terms in Wigner-Vill distribution, and keeps the properties of time-frequency concentration higher.

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/).

Download article (PDF)

TY  - CONF
AU  - Wei Liu
AU  - Zengli Liu
AU  - Xinxin He
AU  - Haoran Yao
PY  - 2013/03
DA  - 2013/03
TI  - A new joint algorithm based on EMD-ICA to reduce the cross-term in Wigner-Vill distribution
BT  - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013)
PB  - Atlantis Press
SP  - 2093
EP  - 2096
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccsee.2013.527
DO  - 10.2991/iccsee.2013.527
ID  - Liu2013/03
ER  -