A fuzzy theory based adaptive data fusion algorithm is used.
采用一种利用模糊理论的自适应数据融合算法。
Aiming at this problem, this paper analyzed the reason of the errors in WSN, and presented an improved adaptive data fusion algorithm.
针对这个问题，分析了簇内数据误差成因，提出了一种改进后的自适应数据融合算法。
The idea of adaptive data fusion algorithm , the composition of rules set, algorithms library and the realization of adaptive algorithm are described in detail.
对自适应算法的思想、规则集、算法库、推理组成和算法的实现作了详细的描述。
According to the noise contained in many sensor data, an algorithm based on support degree and adaptive weighted spatial-temporal fusion of the multi-sensor is proposed.
针对多传感器测量数据中含有的噪声，提出一种基于多传感器支持度和自适应加权时空融合算法。
The paper presents a non-reference-signal algorithm of adaptive digital filtering on the basis of data fusion of multisensor.
介绍了一种基于多传感器融合无参考信号的自适应数字滤波算法。
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。
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。
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。
应用推荐