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Numerical estimation of Marcum's Q-Function using Monte Carlo Approximation Schemes [electronic reso...

Numerical estimation of Marcum's Q-Function using Monte Carlo Approximation Schemes [electronic reso...

https://devfeature-collection.sl.nsw.gov.au/record/74VKJlA7EZEb

Numerical estimation of Marcum's Q-Function using Monte Carlo Approximation Schemes [electronic resource] / Graham V. Weinberg and Louise Panton.

About this item

Full title

Numerical estimation of Marcum's Q-Function using Monte Carlo Approximation Schemes [electronic resource] / Graham V. Weinberg and Louise Panton.

Publisher

Edinburgh, S. Aust. : Defence Science and Technology Organisation, 2006.

Date

2006.

Record Identifier

74VKJlA7EZEb

MMS ID

991022347799702626

Language

English

Formats

Publication information

Publisher

Edinburgh, S. Aust. : Defence Science and Technology Organisation, 2006.

Place of Publication

South Australia

Date Published

2006.

Access and use

Access Conditions

Commonwealth of Australia 2006.

Subjects

Subjects and topics

More information

Scope and Contents

Summary

The Marcum Q-Function is an important tool in the study of radar detection probabilities in Gaussian clutter and noise. Due to the fact that it is an intractable integral, much research has focused on finding good numerical approximations for it. Such approximations include numerical integration techniques, such as adaptive Simpson quadrature, and...

Alternative Titles

Full title

Numerical estimation of Marcum's Q-Function using Monte Carlo Approximation Schemes [electronic resource] / Graham V. Weinberg and Louise Panton.

Authors, Artists and Contributors
Notes

General note

[Research report] ; DSTO-RR-0311.

Title from title screen (viewed on Aug. 4, 2006).

"AR No. AR-013-613"--T.p. verso.

"April, 2006"--T.p. verso.

Bibliography: p. 24-25.

System details note

Contextual Information

Other version (online)

Identifiers

Primary Identifiers

Record Identifier

74VKJlA7EZEb

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/74VKJlA7EZEb

Other Identifiers

DDC

623.7348

MMS ID

991022347799702626

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