@inproceedings{40d504938d9341e79a2f88ca9ed02bac,

title = "Blind identification problems with constraints",

abstract = "In many applications of independent component analysis (ICA) and blind source separation (BSS) the mixing or separating matrices have some special structure or some constraints are imposed for the matrices like symmetry, orthogonality, nonnegativity, sparseness and unit (or specified invariant norm) of the matrix. We present several algorithms and overview some known transformations which allows us to preserve such constraints. Especially, we propose algorithms for a blind identification problem with non-negativity constraints.",

author = "A. Cichocki and P. Georgiev",

year = "2002",

doi = "10.1109/NNSP.2002.1030065",

language = "English",

series = "Neural Networks for Signal Processing - Proceedings of the IEEE Workshop",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "535--544",

editor = "Samy Bengio and Scott Douglas and Tulay Adali and Jan Larsen and Herve Bourlard",

booktitle = "Neural Networks for Signal Processing XII - Proceedings of the 2002 IEEE Signal Processing Society Workshop, NNSP 2002",

note = "12th IEEE Workshop on Neural Networks for Signal Processing, NNSP 2002 ; Conference date: 06-09-2002",

}