最优加权融合算法将应用于多传感器arma信号分布式融合反卷积估值器。
A distributed fusion deconvolution for multichannel ARMA signal is given by using the optimal fusion weighting algorithm.
提出了集中式最优加权融合方法估计分布式参数的数学模型，并进行了严格的公式推导。
A centralized optimal weighting fusion method to proc - essing distributed parameters is introduced. Formula deduction is available.
本文提出了一种改善分布式参数检测性能的集中式最优加权融合算法，建立了该算法的数学模型。
Centralized optimal weight fusion algorithm is raised to improve the inspection characteristic of distributed parameter; algorithm model and deduction of formula are available.
提出了一种改善分布式检测数据性能的集中式最优加权融合算法，建立了该算法的数学模型，进行了严格的算法推导与实例论证。
Centralized optimal weight fusion algorithm is raised to improve the distributed inspection data characteristic in this article, algorithm model and deduction of formula are available.
提出一种新的标量加权多传感器线性最小方差意义下的最优信息融合准则。
A new multi-sensor optimal information fusion criterion weighted by scalars is presented in the linear minimum variance sense.
提出了一种新的标量加权线性最小方差意义下的多传感器最优信息融合算法。
A new multi-sensor optimal information fusion algorithm weighted by scalars is presented in the linear minimum variance sense.
提出了一种新的标量加权线性最小方差意义下的多传感器最优信息融合算法。
A new multi-sensor optimal information fusion algorithm weighted by scalars is presented in the linear minimum variance sense.
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