Estimating the number of signals in the presence of white noise

DOI10.1016/S0378-3758(00)00102-6zbMath0960.62006MaRDI QIDQ1587194

Debasis Kundu

Publication date: 17 May 2001

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

zbMATH Keywords

model selectionalmost sure convergenceinformation theoretic criteria

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Estimation in multivariate analysis (62H12) Hypothesis testing in multivariate analysis (62H15) Detection theory in information and communication theory (94A13) Statistical aspects of information-theoretic topics (62B10)

Related Items (3)

A Selection Procedure for the Number of Signals in Presence of Colored Noise ⋮ Estimating the number of components by a data independent penalty function approach ⋮ Professor C. R. Rao's contributions in statistical signal processing and its long-term implications

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Bayes estimation of number of signals
• On detection of the number of signals in presence of white noise
• Estimating the number of sinusoids and its performance analysis
• SVD-based information theoretic criteria for detection of the number of damped/undamped sinusoids and their performance analysis

This page was built for publication: Estimating the number of signals in the presence of white noise