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Split Covariance Intersection with Correlated Components ...
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由 C Cros 著作2024 — Abstract: This paper introduces a new conservative fusion method to exploit the correlated components within the estimation errors.
Split Covariance Intersection with Correlated Components ...
arXiv
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由 C Cros 著作2024 — Abstract—This paper introduces a new conservative fusion method to exploit the correlated components within the es- timation errors.
Split Covariance Intersection with Correlated Components ...
arXiv
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arXiv
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2024年3月6日 — This paper introduces a new conservative fusion method to exploit the correlated components within the estimation errors. Fusion is the process ...
Split Covariance Intersection with Correlated Components ...
ResearchGate
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2024年10月15日 — This paper is concerned with the estimation of the covariance parameter of the bivariate Poisson distribution. It is shown that the method of ...
Split Covariance Intersection with Correlated Components ...
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2024年3月6日 — A new conservative fusion method to exploit the correlated components within the estimation errors to provide a gain and a bound on the ...
Split Covariance Intersection with Correlated Components for ...
colab.ws
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2024年7月8日 — Mean square error optimal estimation requires the full correlation structure to be available. Unfortunately, it is not always possible to ...
Improved fast covariance intersection for distributed data ...
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Split Covariance Intersection with Correlated Components for Distributed Estimation. Conference Paper. Jul 2024. Colin Cros · Pierre-Olivier Amblard ...
Data Fusion with Split Covariance Intersection for Cooperative ...
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This paper focuses on the study of the Split Covariance Intersection Filter (SCIF), a method capable of handling both independent and arbitrarily correlated ...
Interval Split Covariance Intersection Filter: Theory and Its ...
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由 X Shan 著作2024被引用 1 次 — The data incest problem causes inter-estimate correlation during data fusion processes, which yields inconsistent data fusion results.
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A Quarter Century of Covariance Intersection: Correlations ...
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由 R Forsling 著作2024被引用 3 次 — Estimation in distributed and decentralized data fusion settings is typi- cally characterized by having non-zero cross- correlations between the estimates to be.
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