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Volume 20 Issue 2
Mar.  1998
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Mao Yongcai, Bao Zheng. ASYMPTOTIC PROPERTY STUDY OF THE LEAST SQUARE ESTIMATES OF 2-D EXPONENTIAL SIGNALS VIA COMPLEX SIGNAL PROCESSING APPROACH[J]. Journal of Electronics & Information Technology, 1998, 20(2): 145-150.
Citation: Mao Yongcai, Bao Zheng. ASYMPTOTIC PROPERTY STUDY OF THE LEAST SQUARE ESTIMATES OF 2-D EXPONENTIAL SIGNALS VIA COMPLEX SIGNAL PROCESSING APPROACH[J]. Journal of Electronics & Information Technology, 1998, 20(2): 145-150.

ASYMPTOTIC PROPERTY STUDY OF THE LEAST SQUARE ESTIMATES OF 2-D EXPONENTIAL SIGNALS VIA COMPLEX SIGNAL PROCESSING APPROACH

  • Received Date: 1996-11-26
  • Rev Recd Date: 1997-08-11
  • Publish Date: 1998-03-19
  • By use of the approach of complex random signal processing, the asymptotic statistical properties of the least square estimates of 2-D exponential signals are studied. In doing so it is found that the representation is considerably more intuitive, and is analytically more tractable.
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  • Rao C R, Zhao L C, Zhou B. Maximum likelihood estimation of 2-D superimposed exponential signals. IEEE Trans. on Signal Processing, 1994, SP-42(7): 1795-1802.[2]Rao C R, Zhao L C. Asymptotic behavior of maximum likelihood estimates of superimposed expo-[3]nential signals. IEEE Trans. on Signal Processing, 1993, SP-41(3): 1461-1464.[4][3][5]Kundu D, Mitra A. Asymptotic properties of the least squares estimates of 2-D exponetial signals[J].Multidimensional Systems and Signal Processing.1996, 7(2):135-150[6]Kundu D. Asymptotic theory of least squares estimator of a particular nonlinear regression model Statistics and Probability Letters, 1993, 18(l): 13-17.[7]严士健,等.概率论基础.北京:科学出版社,1982,452-473.
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