A centralized optimal weighting fusion method to proc - essing distributed parameters is introduced. Formula deduction is available.
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。
Aim at the problem of multi-sensors target tracking in the dual band IR imaging system, a method of target tracking is presented using adaptive weighting fusion based on fuzzy inference.
针对双色红外成像制导系统中多传感器目标跟踪的实际问题，提出了一种基于模糊推理自适应加权融合的目标跟踪算法。
Combined with intelligent recognition technology, data fusion technology adopts the classical self-adapting weighting fusion algorithm to increase the reliability of fire characteristics recognition.
数据融合方法采用经典的自适应加权融合估计算法，配合智能判别技术，增强了火灾特征识别的可靠性。
This paper researches the sub image feature fusion rules in the trademark image retrieval, and improves the sub image feature fusion rules by weighting based on the sub image reliability.
该文对商标图像检索中的子图像特征融合准则进行了研究，根据子图像可信度对子图像特征融合准则进行加权改进。
By applying an emergent random weighting estimation method to multi-sensor data fusion, a random weighting data fusion method of multi-source information disposing was proposed in this paper.
将一种新兴的随机加权估计方法应用于多传感器数据融合，提出了一种将多源信息综合处理的随机加权数据融合方法。
The paper introduces the application of adaptive weighting data fusion technology to realize the complementation for the function of two kinds of sensors.
应用自适应加权数据融合技术，实现两种传感器在功能上的互补。
A distributed fusion deconvolution for multichannel ARMA signal is given by using the optimal fusion weighting algorithm.
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。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
研究了有关分批估计、自适应加权和方差估计算法在多传感器数据融合中的有效性、准确度和实时性。
Through design of the statistical weighting algorithm based on BP neural network, the data fusion model will be established.
通过设计基于BP神经网络的统计加权算法，建立数据融合模型。
The validity, accuracy and actual time of the algorithm for batched-estimation, self-adaptive weighting and variance-estimation are studied in multi-sensors data fusion.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
Extracting these instantaneous features via calculation of the weighting mean using bootstrap distribution, bootstrap fusion series are formed.
用自助分布进行加权均值计算，提取这些瞬间特征，构成自助融合序列。
Extracting these instantaneous features via calculation of the weighting mean using bootstrap distribution, bootstrap fusion series are formed.
用自助分布进行加权均值计算，提取这些瞬间特征，构成自助融合序列。
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