@article{(Open Science Index):https://publications.waset.org/pdf/13924,
	  title     = {A Completed Adaptive De-mixing Algorithm on Stiefel Manifold for ICA},
	  author    = {Jianwei Wu},
	  country	= {},
	  institution	= {},
	  abstract     = {Based on the one-bit-matching principle and by turning the de-mixing matrix into an orthogonal matrix via certain normalization, Ma et al proposed a one-bit-matching learning algorithm on the Stiefel manifold for independent component analysis [8]. But this algorithm is not adaptive. In this paper, an algorithm which can extract kurtosis and its sign of each independent source component directly from observation data is firstly introduced.With the algorithm , the one-bit-matching learning algorithm is revised, so that it can make the blind separation on the Stiefel manifold implemented completely in the adaptive mode in the framework of natural gradient.
},
	    journal   = {International Journal of Mathematical and Computational Sciences},
	  volume    = {3},
	  number    = {9},
	  year      = {2009},
	  pages     = {608 - 610},
	  ee        = {https://publications.waset.org/pdf/13924},
	  url   	= {https://publications.waset.org/vol/33},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 33, 2009},
	}