Furthermore, on applying Time Fusion algorithm based on sampling sequence, the effective sampling rate can be multifoldly increased and the precision of result greatly improved.
在此基础上，加入多时间序列的融合算法可以将有效采样率成倍提高，精度也得到相应的改善。
The computation quantity of many data correlation algorithm is great in the information fusion. It is difficult to guarantee the computing speed and the validity in real time processing.
信息融合中的许多数据关联算法计算量大，工程中难以保证实时性和有效性。
The new algorithm revised the error caused by the matrix power information fusion rule, raised the fusion accuracy and lower time complications in the meantime.
该加权融合算法修正了按矩阵加权信息融合算法的误差，在提高融合精度的同时降低了计算复杂度。
The application of Wavelet in dynamic estimation and data fusion is introduced in this paper; an optimal real-time multiscale estimation and fusion algorithm for dynamic system is given.
介绍了小波变换在动态估计和数据融合中的应用，给出了一种实时的最优动态多尺度估计和融合算法。
In view of the heavier calculation burden and worse real-time of asynchronous fusion center, a multi-sensor asynchronous data fusion algorithm based on estimate covariance control was proposed.
针对异步融合中心计算量大、实时性差的问题，基于估计协方差控制理论提出了一种多传感器异步数据融合算法。
The calculating dynamic oil quantity in real time can be realized using the data fusion algorithm in measurement system based on multi-sensor.
应用多传感器检测系统数据融合算法，实现原油储罐动态油量的实时计量。
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。
This paper focuses on realization of robustness and real-time multi-sensor information fusion algorithm in the Embedded System.
本文重点研究在嵌入式系统中实现兼具鲁棒性和实时性的多传感器信息融合算法。
At the same time to tie in with the pre-processing algorithm we used the fusion algorithm based on rules of gradient selection, it could better improve the quality of fused images.
同时为配合预处理算法采用了梯度选取规则的融合算法，更好的提高融合后图像的质量。
In this paper, we study the information fusion algorithm of multi-sensor time-delayed systems with measurement data loss.
本文针对多传感器时滞系统，研究测量数据发生丢失情况下的的信息融合算法。
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.
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。
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