Estimating functions for blind separation when sources have variance-dependencies

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

Volumn 3195, Issue , 2004, Pages 136-143

  Kawanabe, Motoaki ^a   Müller, Klaus Robert ^a,b  

^a FRAUNHOFER FIRST   (Germany)

^b UNIVERSITY OF POTSDAM   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INDEPENDENT COMPONENT ANALYSIS;

BLIND SEPARATION; DEPENDENT SOURCES; ESTIMATING FUNCTIONS; ICA ALGORITHMS; PARAMETRIC MODELING; SEMIPARAMETRIC; STATISTICAL APPROACH; VARIANCE DEPENDENCIES;

BLIND SOURCE SEPARATION;

EID: 35048840728     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30110-3_18     Document Type: Article

References (16)

1. Hyvarinen, A., Hurri, J.: Blind separation of sources that have spatiotemporal variance dependencies. Signal Processing (2004) to appear.
2. Amari, S., Cardoso, J.F.: Blind source separation - semiparametric statistical approach. IEEE Trans. on Signal Processing 45 (1997) 2692-2700
3. Cardoso, J.F.: Multidimensional independent component analysis. In: Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'98), Seattle, WA (1998)
4. Hyvärinen, A., Hoyer, P.O., Inki, M.: Topographic independent component analysis. Neural Computation 13 (2001)
5. Bach, F.R., Jordan, M.I.: Tree-dependent component analysis. In: Uncertainty in Artificial Intelligence: Proceedings of the Eighteenth Conference (UAI-2002). (2002)
6. Valpola, H., Harva, M., Karhunen, J.: Hierachical models of variance sources. In: Proc. of ICA2003, Nara, Japan (2003)
7. Bickel, P., Klaassen, C., Ritov, Y., Wellner, J.: Efficient and Adaptive Estimation for Semi-paramtric Models. John Hopkins Univ. Press, Baltimore, MD (1993)
8. Amari, S., Kawanabe, M.: Information geometry of estimating functions in semiparametric statistical models. Bernoulli 3 (1997) 29-54
9. Godambe, V., ed.: Estimating Functions. Oxford Univ. Press, New York (1991)
10. Cardoso, J.F.: Estimating equations for source separation. In: Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP'97). Volume 5., Munich, Germany (1997) 3449-3452
11. Ziehe, A., Müller, K.R.: TDSEP - an efficient algorithm for blind separation using time structure. In Niklasson, L., Bodén, M., Ziemke, T., eds.: Proc. of the 8th Int. Conf. on Artificial Neural Networks (ICANN '98), Berlin, Springer Verlag (1998) 675-680
12. A. Belouchrani, K. Abed Meraim, J.F.C., Moulines, E.: A blind source separation technique based on second order statistics. IEEE Trans. on Signal Processing (1996) 1009-1020
13. Hyvärinen, A., Oja, E.: A fast fixed-point algorithm for independent component analysis. Neural Computation 9 (1997) 1483-1492
14. Cardoso, J.F., Souloumiac, A.: Blind beamforming for non gaussian signals. IEE Proceedings-F( 1993) 362-370
15. Pham, D.T., Cardoso, J.F.: Blind separation of instantaneous mixtures of non-stationary sources. In: Proc. of ICA2000, Helsinki, Finland (2000) 187-193
16. Amari, S., Cichocki, A., Yang, H.: A new learning algorithm for blind source separation. In: Advances in Neural Information Processing Systems 8. MIT Press (1996) 757-763