Strong consistency of a family of model order selection rules for estimating 2D sinusoids in noise

Mark Kliger, Joseph M. Francos

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

We consider the problem of jointly estimating the number as well as the parameters of 2D sinusoidal signals, observed in the presence of an additive white Gaussian noise field. In this paper we prove the strong consistency of a large family of model order selection rules.

Original languageEnglish
Pages (from-to)3075-3081
Number of pages7
JournalStatistics and Probability Letters
Volume78
Issue number17
DOIs
StatePublished - 1 Dec 2008

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

Fingerprint

Dive into the research topics of 'Strong consistency of a family of model order selection rules for estimating 2D sinusoids in noise'. Together they form a unique fingerprint.

Cite this