Complex blind source separation via simultaneous strong uncorrelating transform

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

Volumn 6365 LNCS, Issue , 2010, Pages 287-294

  Shen, Hao ^a   Kleinsteuber, Martin ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

Complex blind source separation; complex oblique projective manifold; conjugate gradient algorithm; nonstationary signal; simultaneous strong uncorrelating transform

Indexed keywords

COMPLEX BLIND SOURCE SEPARATIONS; COMPLEX OBLIQUE PROJECTIVE MANIFOLD; CONJUGATE GRADIENT ALGORITHMS; NONSTATIONARY SIGNALS; STRONG-UNCORRELATING TRANSFORMS;

CONJUGATE GRADIENT METHOD; SIGNAL ANALYSIS;

BLIND SOURCE SEPARATION;

EID: 78349255953     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-15995-4_36     Document Type: Conference Paper

References (12)

1. Comon, P.: Independent component analysis, a new concept? Signal Processing 36(3), 287-314 (1994)
2. Eriksson, J., Koivunen, V.: Complex random vectors and ICA models: Identifiability, uniqueness, and separability. IEEE Transactions on Information Theory 52(3), 1017-1029 (2006) (Pubitemid 46444889)
3. Eriksson, J., Koivunen, V.: Complex-valued ICA using second order statistics. In: Proceedings of the IEEE-MLSP 2004, pp. 183-191 (2004)
4. Ollila, E., Koivunen, V.: Complex ICA using generalized uncorrelating transform. Signal Processing 89, 365-377 (2009)
5. Cardoso, J.F.: Blind signal separation: Statistical principles. Proceedings of the IEEE 86(10), 2009-2025 (1998)
6. Douglas, S.C., Eriksson, J., Koivunen, V.: Equivariant algorithms for estimating the strong-uncorrelating transform in complex independent component analysis. In: Rosca, J.P., Erdogmus, D., Príncipe, J.C., Haykin, S. (eds.) ICA 2006. LNCS, vol. 3889, pp. 57-65. Springer, Heidelberg (2006) (Pubitemid 43998399)
7. Pham, D.T.: Joint approximate diagonalization of positive definite Hermitian matrices. SIAM Journal on Matrix Analysis and Applications 22, 1136-1152 (2001)
8. Neeser, F., Massey, J.: Proper complex random processes with applications to information theory. IEEE Transactions on Information Theory 39(4), 1293-1302 (1993)
9. Spivak, M.: A Comprehensive Introduction to Differential Geometry, 3rd edn., vol. 1-5. Publish or Perish, Inc. (1999)
10. Afsari, B.: Sensitivity analysis for the problem of matrix joint diagonalization. SIAM Journal on Matrix Analysis and Applications 20, 1148-1171 (2008)
11. Kleinsteuber, M., Hüper, K.: An intrinsic CG algorithm for computing dominant subspaces. In: Proceedings of IEEE-ICASSP 2007, pp. IV1405-IV1408 (2007)
12. Amari, S., Cichocki, A., Yang, H.H.: A new learning algorithm for blind signal separation. In: Advances in Neural Information Processing Systems, vol. 8, pp. 757-763 (1996)