Spatiotemporal blind source separation using double-sided approximate joint diagonalization

13th European Signal Processing Conference, EUSIPCO 2005

Volumn , Issue , 2005, Pages 1926-1929

  Theis, Fabian J ^a   Gruber, Peter ^a   Keck, Ingo R ^a   Meyer Bäse, Anke ^b   Lang, Elmar W ^a  

^a UNIVERSITY OF REGENSBURG   (Germany)

^b FAMU FSU COLLEGE OF ENGINEERING   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATE JOINT DIAGONALIZATION (AJD); CUMULANTS; ENERGY FUNCTIONS; FEATURE SPACE; FIXED TIME INTERVAL; ICA ALGORITHMS; JOINT ENTROPY; NOVEL ALGORITHM; REAL WORLD DATA; ROBUST METHODS; SEQUENCE OF IMAGES; SOURCE CONDITIONS; TEMPORAL STRUCTURES;

ALGEBRA; ALGORITHMS; BLIND SOURCE SEPARATION; SIGNAL PROCESSING;

INDEPENDENT COMPONENT ANALYSIS;

EID: 84863664844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. A. Belouchrani, K. Abed Meraim, J.-F. Cardoso, and E.Moulines. A blind source separation technique based on second order statistics. IEEE Transactions on Signal Processing, 45(2):434-444, 1997.
2. J.-F. Cardoso and A. Souloumiac. Blind beamforming for non gaussian signals. IEE Proceedings - F, 140(6):362-370, 1993.
3. A. Cichocki and S. Amari. Adaptive blind signal and image processing. John Wiley & Sons, 2002.
4. P. Comon. Independent component analysis - a new concept? Signal Processing, 36:287-314, 1994.
5. E. Moreau. A generalization of joint-diagonalization criteria for source separation. IEEE Transactions on Signal Processin, 49(3):530-541, 2001.
6. J.V. Stone, J. Porrill, N.R. Porter, and I.W. Wilkinson. Spatiotemporal independent component analysis of event-related fmri data using skewed probability density functions. NeuroImage, 15(2):407-421, 2002.
7. F.J. Theis. A new concept for separability problems in blind source separation. Neural Computation, 16:1827-1850, 2004.
8. F.J. Theis, A. Meyer-Bäse, and E.W. Lang. Second-order blind source separation based on multi-dimensional autocovariances. In Proc. ICA 2004, volume 3195 of Lecture Notes in Computer Science, pages 726-733, Granada, Spain, 2004.
9. A. Yeredor. Non-orthogonal joint diagonalization in the leastsquares sense with application in blind source separation. IEEE Trans. Signal Processing, 50(7):15451553, 2002.