Blind Source Separation of a Mixture of Communication Sources with Various Symbol Periods
Summary :
A blind source separation problem in a solicitations context is addressed. The mixture stems from several telecommunication signals, the symbol periods of which are unknown and possibly different. Cost functions are introduced, the optimization of which achieves the equalization for a user, i.e. estimation of the symbol period and the associated sequence of symbols. The method is iterated by implementing a deflation. The theoretical results are validated by simulations.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E86-A No.3 pp.564-572
- Publication Date
- 2003/03/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on Blind Signal Processing: Independent Component Analysis and Signal Separation)
- Category
- Convolutive Systems
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Keyword
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Sebastien HOUCKE, Antoine CHEVREUIL, Philippe LOUBATON, "Blind Source Separation of a Mixture of Communication Sources with Various Symbol Periods" in IEICE TRANSACTIONS on Fundamentals,
vol. E86-A, no. 3, pp. 564-572, March 2003, doi: .
Abstract: A blind source separation problem in a solicitations context is addressed. The mixture stems from several telecommunication signals, the symbol periods of which are unknown and possibly different. Cost functions are introduced, the optimization of which achieves the equalization for a user, i.e. estimation of the symbol period and the associated sequence of symbols. The method is iterated by implementing a deflation. The theoretical results are validated by simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e86-a_3_564/_p
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@ARTICLE{e86-a_3_564,
author={Sebastien HOUCKE, Antoine CHEVREUIL, Philippe LOUBATON, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Source Separation of a Mixture of Communication Sources with Various Symbol Periods},
year={2003},
volume={E86-A},
number={3},
pages={564-572},
abstract={A blind source separation problem in a solicitations context is addressed. The mixture stems from several telecommunication signals, the symbol periods of which are unknown and possibly different. Cost functions are introduced, the optimization of which achieves the equalization for a user, i.e. estimation of the symbol period and the associated sequence of symbols. The method is iterated by implementing a deflation. The theoretical results are validated by simulations.},
keywords={},
doi={},
ISSN={},
month={March},}
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TY - JOUR
TI - Blind Source Separation of a Mixture of Communication Sources with Various Symbol Periods
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 564
EP - 572
AU - Sebastien HOUCKE
AU - Antoine CHEVREUIL
AU - Philippe LOUBATON
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E86-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2003
AB - A blind source separation problem in a solicitations context is addressed. The mixture stems from several telecommunication signals, the symbol periods of which are unknown and possibly different. Cost functions are introduced, the optimization of which achieves the equalization for a user, i.e. estimation of the symbol period and the associated sequence of symbols. The method is iterated by implementing a deflation. The theoretical results are validated by simulations.
ER -
English
