Referenced Items are not available for this document.
The performance of the maximum likelihood estimator for a 1-D chaotic signal in white Gaussian noise is derived. It is found that the estimator is inconsistent and therefore the usual asymptotic distribution (large data record length) is invalid. However, for high signal-to-noise ratios (SNRs), the maximum likelihood estimator is asymptotically unbiased and attains the Cramer-Rao lower bound.<
Published in:
Signal Processing, IEEE Transactions on
(Volume:43
,
Issue:
4
)
Date of Publication: April 1995
- Page(s):
- 1009 - 1012
- ISSN :
- 1053-587X
- INSPEC Accession Number:
- 4937770
- Digital Object Identifier :
- 10.1109/78.378033
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- April 1995
- Sponsored by :
- IEEE Signal Processing Society
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