Compressive sensing for Gauss-Gauss detection

The recently introduced theory of compressed sensing (CS) enables the reconstruction of sparse signals from a small set of linear measurements. If properly chosen, the number of measurements can be much smaller than the number of Nyquist rate samples. However, despite the intense focus on the recons...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Tucker, J. Derek, Klausner, N.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	binary hypothesis testing Compressed sensing compressive sensing Covariance matrix Fisher Discriminant J-divergence Matrix decomposition Noise measurement signal detection Signal to noise ratio Vectors
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