COMPLEX-VALUED ADAPTIVE SIGNAL PROCESSING - Adaptive Signal Processing: Next Generation Solutions - page 81

30. G. Cybenko, Approximation by superpositions of a sigmoidal function. Mathematics of
Control, Signals, and Systems , 2:303-314, (1989).
31. J. P. D'Angelo, Inequalities from Complex Analysis , volume 28 of Carus Mathematical
Monographs . Mathematical Association of America, (2002).
32. J. Eriksson and V. Koivunen, Complex-valued ICA using second order statistics. In Proc.
IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP) , pp. 183-192,
Sa ˜ Luis, Brazil, Sept. (2004).
33. J. Eriksson and V. Koivunen, Complex random vectors and ICA models: Identifiability,
uniqueness and separability. IEEE Trans. Info. Theory , 52(3):1017-1029, (2006).
34. J. Eriksson, A. Seppola, and V. Koivunen, Complex ICA for circular and non-circular
sources. In Proc. European Signal Process. Conf. (EUSIPCO) , Antalya, Turkey, (2005).
35. K. Funahashi, On the approximate realization of continuous mappings by neural networks.
Neural Networks , 2:183-192, (1989).
36. G. Georgiou and C. Koutsougeras, Complex back-propagation. IEEE Trans. Circuits Syst.
II , 39(5):330-334, (1992).
37. S. L. Goh, M. Chen, D. H. Popovic, K. Aihara, D. Obradovic, and D. P. Mandic,
Complex-valued forecasting of wind profile. Renewable Energy , 31:1733-1750, (2006).
38. S. L. Goh and D. P. Mandic, Nonlinear adaptive prediction of complex-valued signals by
complex-valued PRNN. IEEE Trans. Signal Processing , 53(5):1827-1836, (2005).
39. S. L. Goh and D. P. Mandic, A general fully adaptive normalised gradient descent learning
algorithm for complex-valued nonlinear adaptive filters. IEEE Trans. Neural Networks ,
18(5):1511-1516, (2007).
40. N. R. Goodman, Statistical analysis based on a certain multivariate complex Gaussian dis-
tribution. Annals Math. Stats. , 34:152-176, (1963).
41. A. I. Hanna and D. P. Mandic, A fully adaptive normalized nonlinear gradient descent
algorithm for

complex-valued nonlinear adaptive filters. IEEE Trans. Signal

Processing , 51(10):2540-2549, (2003).
42. S. Haykin, Neural Networks: A Comprehensive Foundation (2nd Edition) Neural
Networks: A Comprehensive Foundation . Prentice-Hall, Inc., Second edition, (1999).
43. S. Haykin, Adaptive Filter Theory . Prentice-Hall, Inc., Upper Saddle River, NJ, fourth
edition, (2002).
44. P. Henrici, Applied and Computational Complex Analysis , III, Wiley, New York, NY,
(1986).
45. A. Hirose, Continuous complex-valued back-propagation learning. Electronics Letts. ,
28(20):1854-1855, (1992).
46. A. Hj¯rungnes and D. Gesbert, Complex-valued matrix differentiation: Techniques and
key results. IEEE Trans. Signal Processing , 55(6):2740-2746, (2007).
47. F. G. C. Hoogenraad, P. J. W. Pouwels, M. B. M. Hofman, J. R. Reichenbach,
M. Sprenger, and E. M. Haacke, Quantitative differentiation between bold models in
FMRI. Magnetic Resonance in Medicine , 45:233-246, (2001).
48. L. H¨rmander, An Introduction to Complex Analysis in Several Variables . North-Holland,
Oxford, UK, (1990).
49. R. A. Horn and C. R. Johnson, Matrix Analysis . Cambridge University Press, New York,
NY, (1999).