Strong consistency of the over- and underdetermined LSE of 2-D exponentials in white noise

We consider the problem of least squares estimation of the parameters of two-dimensional (2-D) exponential signals observed in the presence of an additive noise field, when the assumed number of exponentials is incorrect. We consider both the case where the number of exponential signals is underesti...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	IEEE transactions on information theory 2005-09, Vol.51 (9), p.3314-3321
Hauptverfasser:	Kliger, M., Francos, J.M.
Format:	Artikel
Sprache:	eng
Schlagworte:	2-D parameter estimation Additive noise Applied sciences Communication channels Consistency Convergence Detection, estimation, filtering, equalization, prediction Electric noise Error analysis Estimates Estimators Exact sciences and technology Gaussian noise Information, signal and communications theory Least squares approximation Least squares estimation Least squares method Mathematical analysis Maximum likelihood detection Maximum likelihood estimation model-order selection Parameter estimation Performance analysis random fields Signal and communications theory Signal, noise Signaling strong consistency Telecommunications and information theory Two dimensional two-dimensional (2-D) exponentials Vectors (mathematics) White noise
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!