Based on linear unbiased minimum variance estimation theory, a fusion algorithm which fused the state vector of nonlinear systems with dissimilar sensors with arbitrary correlated noises is developed.
基于线性无偏最小方差估计理论，提出了一种任意相关噪声异类传感器非线性系统状态矢量融合算法。
The most difficult problem in vector-vector data fusion is the multi-source and inconsistency of data.
矢量空间数据融合中最难的问题来自于数据的多源性、不一致性。
This vector also contains thrombin protease cleavage site to facilitate proteolysis of the bacterial fusion proteins.
为便于从融合蛋白中解离出目的多肽，这个载体中含有特异的蛋白酶裂解位点。
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