DocumentCode :
2802836
Title :
Multiband analysis for colored amplitude-modulated ship noise
Author :
Clark, Pascal ; Kirsteins, Ivars ; Atlas, Les
Author_Institution :
Dept. of Electr. Eng., Univ. of Washington, Seattle, WA, USA
fYear :
2010
fDate :
14-19 March 2010
Firstpage :
3970
Lastpage :
3973
Abstract :
Propeller radiated cavitation noise is broadband yet audibly rhythmic, taking on the characteristics of amplitude-modulated noise. The study of this process is important because the shaft and blade rates, as well as other identifying features of the ship, can be inferred from the cavitation signal envelope. Unlike the conventional method for estimating the modulation frequency, this paper proposes a multirate subband method applicable to colored signals, and shows the conditions under which it is optimal in the sense of maximum likelihood. Application to actual ship noise data confirms the utility of the new method, yet also reveals previously unobserved signal dynamics, namely acoustic frequency-dependent phase shifts and amplitude variation in the modulation spectrum.
Keywords :
acoustic correlation; acoustic noise; acoustic signal detection; amplitude modulation; blades; cavitation; maximum likelihood detection; maximum likelihood estimation; propellers; shafts; ships; acoustic frequency-dependent phase shifts; blade rates; colored amplitude-modulated ship noise; maximum likelihood; modulation frequency; multiband analysis; propeller radiated cavitation noise; shaft rates; temporal correlation; Acoustic noise; Blades; Colored noise; Frequency estimation; Frequency modulation; Marine vehicles; Noise level; Propellers; Shafts; Signal processing; Amplitude modulation; cavitation; demodulated noise; maximum likelihood; multirate filterbanks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
ISSN :
1520-6149
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2010.5495776
Filename :
5495776
Link To Document :
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