基于信息总线服务的智能数据流自适应集成方法

为了提高信息服务中心的智能数据处理能力,提出一种基于信息总线服务的智能数据流自适应集成方法,构建智能数据流自适应信息处理模型,采用统计时间序列分析方法进行信息总线服务的大数据处理和信号集成,采用同步与匹配滤波方法进行信息总线服务数据信息流的滤波检测,采用快速傅里叶变换进行智能数据流自适应集成信号滤波处理,提高智能数据流的纯度。采用重叠保留法实现信息总线服务数据流的混频处理,构建相关匹配检测器实现信息总线服务数据流的分路、插零、取反等运算,根据运算结果实现智能数据流自适应集成。仿真结果表明,采用该方法进行信息总线服务数据流集成的混频性能较好,提高了信息总线服务数据流的检测和信息融合能力,提高了输出信噪比。

Intelligent data stream adaptive integration method based on information bus service

In order to improve the intelligent data processing ability of the information service center,an intelligent data stream adaptive integration based on the information bus service is proposed,and the adaptive information processing model of the intelligent data stream is constructed.The statistical time series analysis method is used to process the information bus service big data and the signal integration,and the synchronous and matched filtering method is used to detect the information flow of the information bus service data.In order to improve the purity of intelligent data stream,the fast fourier transform(FFT)is used for adaptive integrated signal filtering,and the overlapping reservation method is used to realize the mixing processing of information bus service data stream.The correlation matching detection method is used to realize the shunt,zero insertion and inverse operation of the information bus service data stream,and the intelligent data stream adaptive integration is realized according to the result of the operation.The simulation results show that the method has better mixing performance and improves the detection and information fusion ability of the information bus service data stream,SNR is increased.