Asymptotic properties of the least squares estimates of 2-\(D\) exponential signals
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.
scientific article; zbMATH DE number 890724
scientific article