Rao, C. R. ; Zhao, Lincheng ; Zhou, Bin (1994) Maximum likelihood estimation of 2-D superimposed exponential signals IEEE Transactions on Signal Processing, 42 (7). pp. 1795-1802. ISSN 1053-587X
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Official URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arn...
Related URL: http://dx.doi.org/10.1109/78.298285
Abstract
The problem of maximum likelihood estimation of the parameters (i.e. frequencies, amplitudes, and noise variance) of 2-D superimposed exponential signals is considered. In this paper, a polynomial rooting approach is proposed to obtain the estimates of the 2-D frequencies. Strong consistency and limiting distribution are established for the estimates of the parameters. Furthermore, the covariance matrix of the limiting distribution attains the Cramer-Rao lower bound.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to IEEE. |
| ID Code: | 58146 |
| Deposited On: | 31 Aug 2011 12:35 |
| Last Modified: | 31 Aug 2011 12:35 |
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