为了解决干扰情况下地震动信号发射源的定性问题，提出了在决策层上的多传感器数据融合的识别方法。
In order to resolve the problem, the method of multi-sensor data fusion on decision level is submitted.
在利用地面传感器获取目标地震信号特征的基础上，借助神经网络理论，解决基于地震动信号的典型目标的模式识别问题。
On the basis of acquiring character of seismic signal of target by ground sensors, in virtue of nerve network, it solves pattern recognition of typical target based on seismic signal.
为了分析信号，他们用计算机监测了这些地震仪组，看是否地下的每个铁板都包含着独特的震动特征。
They used a computer monitoring the string of geophones to analyse the signals to see if they contained the seismic fingerprint of any of the underground plates.
为了分析信号，他们用计算机监测了这些地震仪组，看是否地下的每个铁板都包含着独特的震动特征。
They used a computer monitoring the string of geophones to analyse the signals to see if they contained the seismic fingerprint of any of the underground plates.
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