A Survey of Kurtosis Optimization Schemes for MISO Source Separation and Equalization - Advances in Heuristic Signal Processing and Applications - page 212

2. Amari, S., Cichocki, A.: Adaptive blind signal processing—neural network approaches. Proc.
IEEE 86 (10), 2026-2048 (1998)
3. Belouchrani, A., Abed-Meraim, K., Cardoso, J.F., Moulines, E.: A blind source separation
technique using second-order statistics. IEEE Trans. Signal Process. 45 (2), 434-444 (1997)
4. Benveniste, A., Métivier, M., Priouret, P.: Algorithmes Adaptatifs et Approximations Stochas-
tiques. Masson, Paris (1987). English translation by S.S. Wilson, Adaptive Algorithms and
Stochastic Approximations. Springer, Berlin (1990)
5. Bermejo, S.: Finite sample effects in higher order statistics contrast functions for sequential
blind source separation. IEEE Signal Process. Lett. 12 (6), 481-484 (2005)
6. Bermejo, S.: Finite sample effects of the fast ICA algorithm. Neurocomputing 71 (1-3), 392-
399 (2007)
7. Bingham, E., Hyvärinen, A.: A fast fixed-point algorithm for independent component analysis
of complex valued signals. Int. J. Neural Syst. 10 (1), 1-8 (2000)
8. Cardoso, J.F.: On the performance of orthogonal source separation algorithms. In: Proc.
EUSIPCO-94, VII European Signal Processing Conference, Edinburgh, UK, pp. 776-779
(1994)
9. Cardoso, J.F., Laheld, B.H.: Equivariant adaptive source separation. IEEE Trans. Signal Pro-
cess. 44 (12), 3017-3030 (1996)
10. Castella, M., Moreau, E.: Generalized identifiability conditions for blind convolutive MIMO
separation. IEEE Trans. Signal Process. 57 (7), 2846-2852 (2009)
11. Castella, M., Moreau, E.: A new optimization method for reference-based quadratic contrast
functions in a deflation scenario. In: Proc. IEEE Int. Conf. on Acoustics, Speech and Signal
Processing (ICASSP), Taipei, Taiwan, R.O.C, pp. 3161-3164 (2009)
12. Castella, M., Moreau, E.: Reference based contrast functions in a semi-blind context. In: Proc.
of ICA'09, 8th International Conference on Independent Component Analysis and Signal Sep-
aration, Paraty-RJ, Brazil. LNCS, vol. 5441, pp. 9-16 (2009)
13. Castella, M., Moreau, E.: New kurtosis optimization schemes for MISO equalization. IEEE
Trans. Signal Process. 60 (3), 1319-1330 (2012)
14. Castella, M., Bianchi, P., Chevreuil, A., Pesquet, J.C.: A blind source separation framework
for detecting CPM sources mixed by a convolutive MIMO filter. Signal Process. 86 (8), 1950-
1967 (2006)
15. Castella, M., Chevreuil, A., Pesquet, J.C.: Mélanges convolutifs. In: Comon, P., Jutten, C.
(eds.) Séparation de Sources, Tome 1: Concepts de Base et Analyse en Composantes Indépen-
dantes, pp. 231-272. Hermès, Paris (2007). Chap. 7
16. Castella, M., Rhioui, S., Moreau, E., Pesquet, J.C.: Quadratic higher-order criteria for iterative
blind separation of a MIMO convolutive mixture of sources. IEEE Trans. Signal Process.
55 (1), 218-232 (2007)
17. Castella, M., Chevreuil, A., Pesquet, J.C.: Convolutive mixtures. In: Comon, P., Jutten, C.
(eds.) Handbook of Blind Source Separation, Independent Component Analysis and Applica-
tions, pp. 281-324. Academic Press, New York (2010). Chap. 8
18. Castells, F., Rieta, J.J., Millet, J., Zarzoso, V.: Spatiotemporal blind source separation approach
to atrial activity estimation in atrial tachyarrhythmias. IEEE Trans. Biomed. Eng. 52 (2), 258-
267 (2005)
19. Comon, P.: Independent component analysis, a new concept? Signal Process. 36 (3), 287-314
(1994). Special Issue on Higher-Order Statistics
20. Comon, P.: Independent component analysis, contrasts, and convolutive mixtures. In: Proc.
2nd IMA International Conference on Mathematics in Communications, Lancaster, UK, pp.
10-17 (2002)
21. Comon, P.: Contrasts, independent component analysis, and blind deconvolution. Int. J. Adapt.
Control Signal Process. 18 (3), 225-243 (2004). Special Issue on Blind Signal Separation
22. Comon, P., Jutten, C. (eds.): Handbook of Blind Source Separation, Independent Component
Analysis and Applications. Academic Press, Oxford (2010)