Infrasound Source Identification Based on Spectral Moment Features
Zahra Madankan,
Noushin Riahi,
Akbar Ranjbar
Issue:
Volume 5, Issue 3, June 2016
Pages:
37-41
Received:
9 March 2016
Accepted:
5 April 2016
Published:
26 April 2016
Abstract: Infrasound signals have a frequency range below the human hearing frequency range, and originate from different sources. Since these waves contain useful information about the occurrence of some important event, in this paper we intend to present a method for the recognition of sources of these signals. In the present paper, by using the feature spectral moment along with Mel-frequency cepstral coefficients (MFCC) and linear prediction coefficients (LPC) and also selecting a subset from the feature which plays a more discriminative role for the signal sources, and then by using classifier ensembles, we reached a 98.1% precision in the infrasound source identification.
Abstract: Infrasound signals have a frequency range below the human hearing frequency range, and originate from different sources. Since these waves contain useful information about the occurrence of some important event, in this paper we intend to present a method for the recognition of sources of these signals. In the present paper, by using the feature sp...
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