Separation of convolutive mixtures of cyclostationary sources: A contrast function based approach

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3195, Issue , 2004, Pages 508-515

  Jallon, Pierre ^a   Chevreuil, Antoine ^b   Loubaton, Philippe ^a   Chevalier, Pascal ^a  

^a UNIVERSITÉ GUSTAVE EIFFEL   (France)

^b THALES COMMUNICATIONS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COST FUNCTIONS; FREQUENCY ESTIMATION; INDEPENDENT COMPONENT ANALYSIS; MIXTURES;

BLIND SEPARATION; CONSISTENT ESTIMATION; CONTRAST FUNCTIONS; CONVOLUTIVE MIXTURE; CYCLIC FREQUENCY; FOURTH-ORDER CUMULANTS; RECEIVED SIGNALS; STATIONARY SOURCES;

BLIND SOURCE SEPARATION;

EID: 35048901040     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_65     Document Type: Article

References (12)

1. K. Abed-Meraim, Y. Xiang, J. Manton, Y. Hua, "Blind source separation using second-order cyclostationary statistics", IEEE Trans. on Signal Processing, vol. 49, no. 4, 694-701, April 2001.
2. Ph. Loubaton and Ph. Regalia, "Blind deconvolution of multivariate signals: a deflation approach.", Proceedings ICC, 1160-1164, Juin 1993.
3. N. Delfosse and Ph. Loubaton, "Adaptative blind separation of independent sources: a deflation approach.", Signal Processing, vol. 45, 59-83, 1995.
4. Jitendra K. Tugnait, "Identification and deconvolution of multi-channel non gaussian processes using higher order statistics and inverse filter criteria.", IEEE Transactions on Signal Processing, vol. 45, 658-672, 1997.
5. C. Simon, Ph Loubaton and C. Jutten, "Separation of a class of convolutive mixtures: a contrast function approach.", Signal Processing, vol. 81, 883-887, 2001.
6. W. Wang, S. Sanei and J. A. Chambers, "Penalty function based joint diagonalization approach for convolutive blind separation of nonstationnary sources.", IEEE Transactions on Signal Processing, submitted in September 2003.
7. P. Comon, "Independant component analysis, an new concept ? ", IEEE Transactions on Signal Processing, vol 36, no. 3, 287-314, 1994.
8. A. Ferréol and P. Chevalier, "On the behavior of current second and higher order blind source separation methods for cyclostationnary sources.", IEEE Transactions on Signal Processing, vol 48, no. 6, 1712-1725, June 2000.
9. M. Kawamoto, Y. Inouye, "A deflation algorithm for the blind source-factor separation of MIMO-FIR channels driven by colored sources", IEEE Signal Processing Letters, vol. 10, no. 11, Nov. 2003, 343-346.
10. M. Castella, J-C. Pesquet and A. Petropulu, "A family of frequency and time-domain contrasts for blind separation of convolutive mixtures of temporally dependant signals.", IEEE Transactions on Signal Processing, accepted for publication, 2003.
11. D. Donoho, "On minimum entropy deconvolution.", Applied time series analysis II, Academic press, New York, pp 565-608, 1981.
12. A. Hyvarinen, "A family of fixed-point algorithms for independant component analysis", IEEE International Conference on Acoustics, Speech and Signal Processing, pp 3917-3920, 1997.