Overcomplete source separation using Laplacian mixture models
نویسندگان
چکیده
منابع مشابه
Generalized Mixture Models for Blind Source Separation
Neural Independent Component Analysis (ICA) algorithms based on unimodal source distributions provide acceptable performances in the case of Blind Source Separation (BSS) of super-gaussian sources. However, their convergence profiles are significantly slower in the case of sub-gaussian sources. In some situations it is necessary to deal with sub-gaussian signals in the form of noise or others. ...
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ژورنال
عنوان ژورنال: IEEE Signal Processing Letters
سال: 2005
ISSN: 1070-9908
DOI: 10.1109/lsp.2005.843759