Cramér-Rao Bounds for Complex-Valued Independent Component Extraction: Determined and Piecewise Determined Mixing Models

Blind source extraction (BSE) aims at recovering an unknown source signal of interest from the observation of instantaneous linear mixtures of the sources. This paper presents Cramér-Rao lower bounds (CRLB) for the complex-valued BSE problem based on the assumption that the target signal is independ...

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Veröffentlicht in:	IEEE transactions on signal processing 2020, Vol.68, p.5230-5243
Hauptverfasser:	Kautsky, Vaclav, Koldovsky, Zbynek, Tichavsky, Petr, Zarzoso, Vicente
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Blind source extraction Computational modeling Computer Science Cramér-Rao lower bound Domains dynamic mixing models Ice independent componenet analysis Independent component analysis independent component extraction Indexes Lower bounds Signal and Image Processing Time-frequency analysis
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