Economical sequential algorithmic convolutions in problems of active vibroseismoacoustic monitoring

M. Khairetdinov, G. Sedukhina, I. Matveev, Gyulnara Voskoboynikova
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Abstract

Network technologies of data acquisition are introduced into systems of active geophysical monitoring of the environment. In this connection the development of methods and algorithms for online analysis of data is very important. As an example, some algorithms of sequential cross-correlation convolution of seismic and acoustic oscillations generated by seismic vibrators are considered. Such sources are widely used in the decision of active geophysical monitoring problems for Earth and atmosphere.
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经济序列卷积算法在主动振动地震声监测中的应用
将数据采集网络技术引入到环境主动地球物理监测系统中。在这方面,开发在线数据分析的方法和算法是非常重要的。以地震振动器产生的地震和声振荡为例,讨论了一些序列互相关卷积算法。这些源被广泛应用于地球和大气主动地球物理监测问题的决策中。
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