IEICE TRANSACTIONS on Fundamentals
Blind Source Separation Based on Phase and Frequency Redundancy of Cyclostationary Signals
Summary :
This paper presents a new method for blind source separation by exploiting phase and frequency redundancy of cyclostationary signals in a complementary way. It requires a weaker separation condition than those methods which only exploit the phase diversity or the frequency diversity of the source signals. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay τ= 0, of multiple measurements. An algorithm is proposed to perform the blind source separation. Computer simulation results illustrate the performance of the new algorithm in comparison with the existing ones.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E87-A No.12 pp.3343-3349
- Publication Date
- 2004/12/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Digital Signal Processing
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Yong XIANG, Wensheng YU, Jingxin ZHANG, Senjian AN, "Blind Source Separation Based on Phase and Frequency Redundancy of Cyclostationary Signals" in IEICE TRANSACTIONS on Fundamentals,
vol. E87-A, no. 12, pp. 3343-3349, December 2004, doi: .
Abstract: This paper presents a new method for blind source separation by exploiting phase and frequency redundancy of cyclostationary signals in a complementary way. It requires a weaker separation condition than those methods which only exploit the phase diversity or the frequency diversity of the source signals. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay τ= 0, of multiple measurements. An algorithm is proposed to perform the blind source separation. Computer simulation results illustrate the performance of the new algorithm in comparison with the existing ones.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e87-a_12_3343/_p
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@ARTICLE{e87-a_12_3343,
author={Yong XIANG, Wensheng YU, Jingxin ZHANG, Senjian AN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Source Separation Based on Phase and Frequency Redundancy of Cyclostationary Signals},
year={2004},
volume={E87-A},
number={12},
pages={3343-3349},
abstract={This paper presents a new method for blind source separation by exploiting phase and frequency redundancy of cyclostationary signals in a complementary way. It requires a weaker separation condition than those methods which only exploit the phase diversity or the frequency diversity of the source signals. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay τ= 0, of multiple measurements. An algorithm is proposed to perform the blind source separation. Computer simulation results illustrate the performance of the new algorithm in comparison with the existing ones.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - Blind Source Separation Based on Phase and Frequency Redundancy of Cyclostationary Signals
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 3343
EP - 3349
AU - Yong XIANG
AU - Wensheng YU
AU - Jingxin ZHANG
AU - Senjian AN
PY - 2004
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E87-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2004
AB - This paper presents a new method for blind source separation by exploiting phase and frequency redundancy of cyclostationary signals in a complementary way. It requires a weaker separation condition than those methods which only exploit the phase diversity or the frequency diversity of the source signals. The separation criterion is to diagonalize a polynomial matrix whose coefficient matrices consist of the correlation and cyclic correlation matrices, at time delay τ= 0, of multiple measurements. An algorithm is proposed to perform the blind source separation. Computer simulation results illustrate the performance of the new algorithm in comparison with the existing ones.
ER -
English
