Referenced Items are not available for this document.
When the statistics of the noise are non-Gaussian, analytic expressions for the probability of false alarms in detection systems are rarely available. Monte Carlo estimation techniques are therefore typically necessary. The author presents an importance sampling biasing distribution which renders exponential savings over standard Monte Carlo simulations. Two important features of this biasing strategy are that no importance sampling parameters need to be determined and no additional computations are required for implementation
Published in:
Communications, IEEE Transactions on
(Volume:41
,
Issue:
9
)
Date of Publication: Sep 1993
- Page(s):
- 1275 - 1277
- ISSN :
- 0090-6778
- INSPEC Accession Number:
- 4569502
- Digital Object Identifier :
- 10.1109/26.237841
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Sep 1993
- Sponsored by :
- IEEE Communications Society
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