Studying possibilities for the classification of infrasonic signals from different sources

被引:10
|
作者
Tsybul'skaya, N. D. [1 ]
Kulichkov, S. N. [1 ]
Chulichkov, A. I. [1 ]
机构
[1] Russian Acad Sci, Obukhov Inst Atmospher Phys, Moscow 119017, Russia
基金
俄罗斯基础研究基金会;
关键词
signal classification; acoustics; statistical hypotheses;
D O I
10.1134/S0001433812040147
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Atmospheric infrasonic signals were classified on the basis of data obtained in the United States (University of Alaska, Fairbanks) and in the Antarctic region (Windless Bight) from 1980 to 1983. The data archive included five classes of signals from different sources: explosions, mountain associated waves, microbaroms, volcanic infrasound, and auroral infrasonic waves. This classification was based on the theory of testing statistical hypotheses. The possibilities of separating these classes were studied. It was shown that the signals (from the archive used) that are characteristic of explosions and volcanic activity can be rather easily separated from those characteristic of mountain associated waves, microbaroms, and auroral infrasonic waves.
引用
收藏
页码:384 / 390
页数:7
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