Separating two binary sources from a single nonlinear mixture

In this paper we present a novel blind method for separating two binary sources from a single, arbitrary nonlinear mixture. The method is analytical and does not involve nonlinear optimization. Our approach proceeds by linearizing the problem and extending known, clustering-based results from the li...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Diamantaras, Konstantinos I, Papadimitriou, Theophilos
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Bayesian methods Clustering algorithms Image resolution Independent component analysis Informatics Nonlinear systems Optimization methods Signal processing Signal processing algorithms signal reconstruction Source separation Taylor series
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!