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Subsequently, a reconstruction method of damage status vector by using training sample fusion algorithm was introduced.
Therefore, a track fusion algorithm via track filter (TFTF) is proposed in this paper.
Then, the corrections are fused by a covariance intersection fusion algorithm to perform state updates.
In this paper, a novel method based on MUWD-DCS fusion algorithm is proposed.
The distribution approximation filter (DAF) is used to implement the non-linear data fusion algorithm.
This paper details the theoretical basis and the implementation procedures of the proposed data fusion algorithm, Spatio-temporal Adaptive Data Fusion Algorithm for Temperature mapping (SADFAT).
In this paper we aim for improving the reliability and precision of localization of our multimodal data fusion algorithm.
The framework is rule-based, employing the concept of using the simplest sensor fusion algorithm with the most reliable sensors.
A multifocus fusion algorithm is proposed next using this focus measure.
Given two geographic databases, a fusion algorithm should produce all pairs of corresponding objects.
We design a Generalized Fusion Algorithm for Compressive Sampling (gFACS) reconstruction.
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