Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals
نویسندگان
چکیده
منابع مشابه
Nonnegative Matrix Factorization for identification of unknown number of sources emitting delayed signals
Factor analysis is broadly used as a powerful unsupervised machine learning tool for reconstruction of hidden features in recorded mixtures of signals. In the case of a linear approximation, the mixtures can be decomposed by a variety of model-free Blind Source Separation (BSS) algorithms. Most of the available BSS algorithms consider an instantaneous mixing of signals, while the case when the ...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2018
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0193974