Period of time： 2003年1期
Publisher： Elsevier
Founded in： 1989
Total resources： 4
ISSN： 0925-2312
Subject： TP Automation Technology , Computer Technology
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Neurocomputing,volume 49,issue 1
Menu
Blind signal separation and independent component analysis
By Amari S.-I., Hyvarinen A., Lee S.-Y., Lee T.-W., Sanchez A V.D. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.
Access to resources
Recommend
Frontiers of research in BSS/ICA
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Blind source separation using Renyi's -marginal entropies
By Erdogmus D., Hild II K.E., Principe J.C. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Separation of sources using simulated annealing and competitive learning
By Puntonet C.G., Mansour A., Bauer C., Lang E. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Blind signal separation in noisy environments using a three-step quantizer
By Mathis H., Joho M. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Blind deconvolution using temporal predictability
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Robust blind source separation algorithms using cumulants
By Cruces S., Castedo L., Cichocki A. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Adaptive step-size control in blind source separation
By von Hoff T.P., Lindgren A.G. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Conditionally independent component analysis for supervised feature extraction
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.Imposing sparsity on the mixing matrix in independent component analysis
By Hyvarinen A., Raju K. in (2002)
Neurocomputing,volume 49,issue 1 , Vol. 49, Iss. 1, 2002-12 , pp.
Previous
Next