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In this paper, a new multiple extended target tracking learning algorithm based on labelled random finite sets (L-RFS) framework is proposed to estimate the number, shape and state of extended targets under clutter conditions. The algorithm mainly includes two aspects: multi-extended target dynamic modeling and multi-extended target tracking estimates. Firstly, a finite mixture model (FMM) of extended...
This paper considers multiple resolvable group target estimation under clutter environment. We first build the structure for the resolvable group targets using graph theory. Then, the group estimation involves two stages of the target state estimation and group state (group size, shape, etc) estimation. In the first stage, based on the given group dynamic models, we derive the target estimated state...
This paper presents a comparison of using different statistical distribution functions to predict ball-grid-array (BGA) solder joint reliability. Four functions are evaluated: two-parameter Weibull, three-parameter Weibull, mixed two-parameter Weibull and Lognormal. Statistical analysis demonstrates that the most commonly used two-parameter Weibull function may not present the best fit to the failure...
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