DocumentCode :
644237
Title :
Correlation analysis of time-varying signals using wavelets
Author :
Murakoshi, Kodai ; Ishimitsu, Shunsuke ; Fujinoki, Kensuke
Author_Institution :
Grad. Sch. of Inf. Sci., Hiroshima City Univ., Hiroshima, Japan
fYear :
2013
fDate :
1-4 Oct. 2013
Firstpage :
50
Lastpage :
54
Abstract :
In this study, we proposed a new method to extract the components of target signals from the sound produced by a motorcycle and from the noise in the interior of a ship using an instantaneous correlation function based on wavelets. We also introduced the concept of using filters to limit the bandwidth of the observed signal to improve the accuracy of our method. We were thus able to observe the running conditions of the motorcycle and ship engine based on sounds that were produced within a noisy environment. This method may be useful in the sound design of engines, separation of sound sources and active noise control.
Keywords :
acoustic signal processing; correlation methods; filtering theory; wavelet transforms; active noise control; correlation analysis; engine sound design; instantaneous correlation function; motorcycle; running condition; ship engine; ship interior; sound source separation; target signal component extraction; time-varying signals; Acceleration; Coherence; Correlation; Engines; Marine vehicles; Motorcycles; Noise; Instantaneous Correlation; Motorcycle Sounds; Ship Interior Noise; Signal Processing; Wavelet Transform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Electronics (GCCE), 2013 IEEE 2nd Global Conference on
Conference_Location :
Tokyo
Print_ISBN :
978-1-4799-0890-5
Type :
conf
DOI :
10.1109/GCCE.2013.6664901
Filename :
6664901
Link To Document :
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