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用复信号处理方法研究二维复指数信号最小二乘估计的渐近性质

毛用才 保铮

毛用才, 保铮. 用复信号处理方法研究二维复指数信号最小二乘估计的渐近性质[J]. 电子与信息学报, 1998, 20(2): 145-150.
引用本文: 毛用才, 保铮. 用复信号处理方法研究二维复指数信号最小二乘估计的渐近性质[J]. 电子与信息学报, 1998, 20(2): 145-150.
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.

用复信号处理方法研究二维复指数信号最小二乘估计的渐近性质

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

  • 摘要: 二维复指数信号广泛应用于许多实际场合,本文利用复随机信号处理方法研究其最小二乘估计的渐近性能。D.Kundu等人(1996)是将复信号表为实部和虚部来讨论的,因而非常繁琐。用复信号处理方法将可使讨论大大简化。
  • 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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出版历程
  • 收稿日期:  1996-11-26
  • 修回日期:  1997-08-11
  • 刊出日期:  1998-03-19

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