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- W2078776886 abstract "In this paper, we present a linearly constrained least squares (LCLS) algorithm for multisensor data fusion. While fusion is considered in the scope of linear combination, the objective of the LCLS algorithm is to minimize the energy of the linearly fused information based on empirical sensory information. Statistical performance analysis of the LCLS algorithm will be carried out including the consistency and asymptotic covariance of the estimates. Effectiveness of the proposed fusion algorithm will be evaluated numerically based on fusion of signals and images." @default.
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- W2078776886 modified "2023-09-23" @default.
- W2078776886 title "<title>Linearly constrained least squares approach for multisensor data fusion</title>" @default.
- W2078776886 doi "https://doi.org/10.1117/12.276122" @default.
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