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Showing 1 - 20 results of 244 for search '"covariance matrix"', query time: 0.64s Refine Results
  1. 1
    by McMillan, J. C.
    Published 1991
    ... driving noise covariance matric which is needed to propagate the covariance matrix Ok in the Kalman filter...
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    Text
  2. 2
    ... covariance matrix was calculated using a novel extension of guided nonlocal means speckle filtering...
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    Conference Object
  3. 3
    by Tian, Xu
    Published 2014
    Subjects: ...covariance matrix...
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    Doctoral or Postdoctoral Thesis
  4. 4
    by Stonebridge, Graham
    Published 2017
    ... be represented by a diagonal observation error covariance matrix, which is inexpensive to invert. The purpose...
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    Master Thesis
  5. 5
  6. 6
    ... interference with structured covariance matrix. We model the target echo from each range bin as a deterministic...
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    Conference Object
  7. 7
    ... interference with structured covariance matrix. We model the target echo from each range bin as a deterministic...
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    Conference Object
  8. 8
  9. 9
  10. 10
  11. 11
    ... of the physical property models is incorporated in the inversion by using a cross-covariance matrix of density...
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    Article in Journal/Newspaper
  12. 12
    ... conjugate inverse Wishart prior distribtion. However, the inverse Wishart prior for the covariance matrix...
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    Dataset
  13. 13
    .... With an approximation of the distance metric as a weighted covariance matrix of the top eigenvectors from the data...
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    Text
  14. 14
  15. 15
    by Ran, J. (author)
    Published 2017
    ... noise covariance matrix of gravity disturbances is propagated from the full noise covariance matrix...
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    Doctoral or Postdoctoral Thesis
  16. 16
    by Kong, J. A.
    Published 1991
    ... approximation is then employed to obtain the covariance matrix which represents the fully polarimetric...
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    Text
  17. 17
    by Janjua, Harveen
    Published 2015
    ... error covariance matrix is static and the spatial correlations are modelled using a di usion operator...
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    Master Thesis
  18. 18
  19. 19
    by Kong, J. A.
    Published 1991
    ... approximation is then employed to obtain the covariance matrix which represents the fully polarimetric...
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    Text
  20. 20
    by Rudolf Ressel, Suman Singha
    Published in Remote Sensing (2016)
    ... and covariance matrix, we extract a number of features and analyze the relevance and redundancy by means...
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    Text
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