USPACOR: Universal sparsity-controlling outlier rejection

The recent upsurge of research toward compressive sampling and parsimonious signal representations hinges on signals being sparse, either naturally, or, after projecting them on a proper basis. The present paper introduces a neat link between sparsity and a fundamental aspect of statistical inferenc...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Giannakis, G. B., Mateos, G., Farahmand, S., Kekatos, V., Zhu, H.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computational modeling Contamination Lasso Linear regression Mathematical model Noise outlier rejection Robustness sparsity Vectors
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