Author:
Jyothirmayi M.,Selvi S. Sethu,Dinesh P. A.
Publisher
Springer Science and Business Media LLC
Subject
Computational Mathematics
Reference25 articles.
1. A. J. Bell and T. J. Sejnowski, “An information-maximization approach to blind separation and blind deconvolution,” Neural Computation, 7, No. 6, 1004–1034 (1995).
2. É. Moulines, J.-F. Cardoso, and E. Gassiat, “Maximum likelihood for blind separation and deconvolution of noisy signals using mixture models,” in: Proc. ICASSP’97 Munich, Vol. 5 (1997), pp. 3617–3620.
3. A. Hyvarinen, J. Karhunen, and E. Oja, Independent Component Analysis, Wiley, New York (2001).
4. C. Jutten and J. Herault, “Blind separation of sources, part I: An adaptive algorithm based on neuromimetic architecture,” Signal Process, 24, 1-10 (1991).
5. M. Girolami, “An alternative perspective on adaptive independent component analysis algorithms,” Neural Computation, 10, No. 8, 2103–2114 (1998).
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献