Asymptotic properties of the least squares estimates of 2-\(D\) exponential signals
type: Item
instance of: scholarly article
title: Asymptotic properties of the least squares estimates of 2-\(D\) exponential signals
zbMATH Open document ID: 0847.93069
DOI: 10.1007/BF01827810
author: Debasis Kundu
author: Amit Mitra
published in: Multidimensional Systems and Signal Processing
publication date: 1996-07-16T00:00:00Z
review text: The asymptotic behavior of the least squares estimates (LSE) of the 2-D superimposed exponential signals is considered. The strong consistency of the LSE are established and the asymptotic normality of the estimates are derived. The results of Rao et al. are extended to a larger class of error random variables.
reviewed by: Tadeusz Kaczorek
Mathematics Subject Classification ID: 93E24
Mathematics Subject Classification ID: 93E10
Mathematics Subject Classification ID: 94A12
zbMATH DE Number: 890724
zbMATH Keywords: 2-D signals
zbMATH Keywords: least squares estimates
zbMATH Keywords: strong consistency
zbMATH Keywords: asymptotic normality
MaRDI profile type: Publication
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description: scientific article; zbMATH DE number 890724