The analysis of combustion audio signals based on Continuous Wavelets Transform

Author

Fang, Shu ; Jiang, Jing-xue ; Zhang, Zhen-Wei

Author_Institution

Sci. Res. Center, Shanghai Fire Inst. of Minist. of Public Security, Shanghai, China

fYear

2011

fDate

9-11 Dec. 2011

Firstpage

282

Lastpage

285

Abstract

The combustion audio signal, which is a typical week non-stationary component hiding in the sound signals, is hard to separate. And this hinders the development of combustion audio using in fire forecast field. In this paper, physical characteristics of combustion audio were analyzed, and a new method based on Continuous Wavelets Transform (CWT) for combustion audio separation has been studied. Moreover, a software system based on Labview has been developed to realize the separation. Simulation contrast tests were made; signals were treated by Short Time Fourier Transform (STFT) and Wigner-Ville Distribution (WVD) and CWT. The results showed that the weak combustion audio signal was distinguished clearly by the CWT. And because of the homogenization, the STFT and WVD have a fuzzy result that testifies the practicability of the CWT method in combustion audio separation.

Keywords

Fourier transforms; audio signal processing; combustion; wavelet transforms; CWT method; Labview; STFT; WVD; Wigner-Ville distribution; combustion audio separation; combustion audio signal; continuous wavelet transform; fire forecast field; nonstationary component hiding; short time Fourier transform; software system; sound signals; Combustion; Continuous wavelet transforms; Fires; Signal resolution; Time frequency analysis; CWT; Combustion audio; Combustion audio feature recognition; Fire forecast;

fLanguage

English

Publisher

ieee

Conference_Titel

Piezoelectricity, Acoustic Waves and Device Applications (SPAWDA), 2011 Symposium on

Conference_Location

Shenzhen

Print_ISBN

978-1-4673-1075-8

Type

conf

DOI

10.1109/SPAWDA.2011.6167244

Filename

6167244