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Showing 1 - 20 results of 47 for search '"covariance matrix"', query time: 0.39s 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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  2. 2
    ... covariance matrix was calculated using a novel extension of guided nonlocal means speckle filtering...
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  3. 3
    .... With an approximation of the distance metric as a weighted covariance matrix of the top eigenvectors from the data...
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  4. 4
    by Kong, J. A.
    Published 1991
    ... approximation is then employed to obtain the covariance matrix which represents the fully polarimetric...
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  5. 5
    by Kong, J. A.
    Published 1991
    ... approximation is then employed to obtain the covariance matrix which represents the fully polarimetric...
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  6. 6
    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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  7. 7
    ... intercepts and slopes in the model. A model with the autoregressive moving average residual covariance matrix...
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  8. 8
    ... intercepts and slopes in the model. A model with the autoregressive moving average residual covariance matrix...
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  9. 9
  10. 10
    by Boone, Dylan Robert
    Published 2013
    ... covariance matrix is generated for each nominal periodic orbit by processing range-rate and altimetry...
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  11. 11
    ... of the IAA algorithm, but also considers the noise term in the covariance matrix estimation. By doing so...
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  12. 12
    ... conjugate inverse Wishart prior distribution. However, the inverse Wishart prior for the covariance matrix...
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  13. 13
  14. 14
    ... the Kalman filter’s covariance matrix. The experiment and semi-physical simulation results show...
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  15. 15
    ... compare LIS to a dimension reduction method based on prior covariance matrix truncation used earlier...
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  16. 16
    by Gleser,Leon Jay, Watson,Geoffrey S.
    Published 1972
    ... distribution for the errors on both occasions with a covariance matrix (sigma squared) E, with E known and so...
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  17. 17
    by Vierinen, J.
    Published in Annales Geophysicae (2018)
    ... transmission bandwidth. We first derive target backscatter amplitude estimation error covariance matrix...
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  18. 18
    ... then leads to the forecast error covariance matrix. However, our knowledge on these statistics is poor. We...
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  19. 19
    ... compare LIS to a dimension reduction method based on prior covariance matrix truncation used earlier...
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  20. 20
    by Nghiem, Son V.
    Published 1990
    ... is then applied to obtain the covariance matrix which describes th full polarimetric scattering properties...
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