Novel cyclostationarity-based blind source separation algorithm using second order statistical properties: Theory and application to the bearing defect diagnosis-Reference-Cited by-同舟云学术

Novel cyclostationarity-based blind source separation algorithm using second order statistical properties: Theory and application to the bearing defect diagnosis

Published:2005-11 Issue:6 Volume:19 Page:1260-1281
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Bouguerriou N.,Haritopoulos M.,Capdessus C.,Allam L.

Publisher

Elsevier BV

Subject

Computer Science Applications,Mechanical Engineering,Aerospace Engineering,Civil and Structural Engineering,Signal Processing,Control and Systems Engineering

Reference14 articles.

1. A blind source separation technique using second-order statistics;Belouchrani;IEEE Transactions on Signal Processing,1997

2. Blind beamforming for non gaussian signals;Cardoso;IEE Proceedings-F,1993

3. Blind source separation using second-order cyclostationary statistics;Abed-Meraim;IEEE Transactions on Signal Processing,2001

4. Second-order blind separation of first and second-order cyclostationary sources—application to AM, FSK, CPFSK, and deterministic sources;Ferréol;IEEE Transactions on Signal Processing,2004

5. New natural gradient algorithm for cyclostationary sources;Jafari;IEE Proceedings of the Vision, Image and Signal Processing,2004

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