The use of infrasound for the early detection of volcanic events has been shown to be effective over large distances, and unlike visual methods, is not weather dependent. Signals recorded via an infrasound array often have a poor signal to noise ratio, as other sources of infrasound are detected and recorded along with the volcano infrasound. Array processing software does not always detect known volcanic events, in part because of the amount of noise in the infrasound signal (Taisne et al., in: Pichon, Blanc, Hauchecorne (eds) Infrasound monitoring for atmospheric studies: challenges in middle atmosphere dynamics and societal benefits. Springer International Publishing, Cham, 2019). Resampling the infrasound into the audible range and then applying the acoustic noise reduction techniques of spectral subtraction prior to array processing is shown to improve signal detection of volcanic events. The discussed technique is applicable to any infrasound signal such as infrasound from anthropogenic sources like nuclear testing.

中文翻译：

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使用电影音频后期制作技术处理火山次声，以通过阵列处理改善信号检测

已证明在远距离内使用次声来早期探测火山事件是有效的，并且与视觉方法不同，它与天气无关。通过次声阵列记录的信号通常具有较差的信噪比，因为会检测到其他次声源并将其与火山次声一起记录下来。阵列处理软件并不总是能够检测到已知的火山事件，部分原因是次声信号中存在大量噪声（Taisne等人，位于：Pichon，Blanc，Hauchecorne（eds），用于大气研究的次声监测：中等大气动力学的挑战和社会福利》（Springer International Publishing，Cham，2019年）。显示了将次声重新采样到可听范围内，然后在阵列处理之前应用频谱减法的声学降噪技术可以改善对火山事件的信号检测。讨论的技术适用于任何次声信号，例如来自人为来源（如核试验）的次声。