Referenced Items are not available for this document.
In this paper, the parametric estimation of the variance of white Gaussian noise is considered when available data are obtained from a quantized noisy stimulus. The Crameacuter-Rao lower bound is derived, and the statistical efficiency of a maximum-likelihood parametric estimator is discussed, along with the estimation algorithm proposed in IEEE Standard 1241
Published in:
Instrumentation and Measurement, IEEE Transactions on
(Volume:56
,
Issue:
3
)
Date of Publication: June 2007
- Page(s):
- 736 - 742
- ISSN :
- 0018-9456
- INSPEC Accession Number:
- 9457654
- Digital Object Identifier :
- 10.1109/TIM.2007.895575
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 15 May 2007
- Issue Date :
- June 2007
- Sponsored by :
- IEEE Instrumentation and Measurement Society
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