Tracking Filter Engineering: The Gauss-Newton and polynomial filters
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Published By Institution Of Engineering And Technology

9781849195546, 9781849195553

Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Random vectors and covariance matrices in filter engineering

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch5 ◽

2013 ◽

pp. 173-196

Keyword(s):

Covariance Matrices ◽

Random Vectors

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Back Matter

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_bm ◽

2013 ◽

pp. 517

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Three tests for ECM consistency

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch7 ◽

2013 ◽

pp. 219-245

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Bias errors

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch6 ◽

2013 ◽

pp. 197-217

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Readme_First

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch1 ◽

2013 ◽

pp. 7-47

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Front Matter

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_fm ◽

2013 ◽

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Minimum variance and the Gauss-Aitken filters

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch8 ◽

2013 ◽

pp. 249-290

Keyword(s):

Minimum Variance

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The Kalman and Swerling filters

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch11 ◽

2013 ◽

pp. 359-387

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Random vectors and covariance matrices - theory

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch4 ◽

2013 ◽

pp. 139-171

Keyword(s):

Covariance Matrices ◽

Random Vectors

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Polynomial filtering - 2

Tracking Filter Engineering: The Gauss-Newton and polynomial filters ◽

10.1049/pbra023e_ch13 ◽

2013 ◽

pp. 469-516

Keyword(s):

Polynomial Filtering

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Tracking Filter Engineering: The Gauss-Newton and polynomial filtersLatest Publications

TOTAL DOCUMENTS

H-INDEX

Published By Institution Of Engineering And Technology

Random vectors and covariance matrices in filter engineering

Back Matter

Three tests for ECM consistency

Bias errors

Readme_First

Front Matter

Minimum variance and the Gauss-Aitken filters

The Kalman and Swerling filters

Random vectors and covariance matrices - theory

Polynomial filtering - 2

Tracking Filter Engineering: The Gauss-Newton and polynomial filters
Latest Publications