caa a22 4500 477094112 CHVBK 20180405111522.0 cr unu---uuuuu 170330e19960401xx s 000 0 eng 10.1007/BF01827810 doi (NATIONALLICENCE)springer-10.1007/BF01827810 Asymptotic properties of the least squares estimates of 2-D exponential signals [Elektronische Daten] [Debasis Kundu, Amit Mitra] Recently Rao et al. [13] established the strong consistency and asymptotic normality of the maximum likelihood estimates of the 2-D superimposed exponential signal model under the assumption of normality of the error random variables. In this paper we investigate the theoretical properties of the least squares estimates of the same model under the assumption of general error distribution. The strong consistency and asymptotic distribution of the least squares estimates have been obtained. Further extension to the multidimensional case has been proposed. Kluwer Academic Publishers, 1996 Kundu Debasis Department of Mathematics, Indian Institute of Technology, Kanpur, 208016, Kanpur, India aut Mitra Amit Department of Mathematics, Indian Institute of Technology, Kanpur, 208016, Kanpur, India aut Multidimensional Systems and Signal Processing Kluwer Academic Publishers 7/2(1996-04-01), 135-150 0923-6082 7:2<135 1996 7 11045 https://doi.org/10.1007/BF01827810 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF01827810 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Kundu Debasis Department of Mathematics, Indian Institute of Technology, Kanpur, 208016, Kanpur, India aut NATIONALLICENCE 700 1- Mitra Amit Department of Mathematics, Indian Institute of Technology, Kanpur, 208016, Kanpur, India aut NATIONALLICENCE 773 0- Multidimensional Systems and Signal Processing Kluwer Academic Publishers 7/2(1996-04-01), 135-150 0923-6082 7:2<135 1996 7 11045 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer