Online Blind Signals Separation with Gaussian 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: Transactions of the Society of Instrument and Control Engineers
سال: 2000
ISSN: 0453-4654
DOI: 10.9746/sicetr1965.36.985