Adaptive extraction of modulation for cavitation noise
The Journal of the Acoustical Society of AmericaPublished 1 December 2009
Fei Bao, Xinlong Wang, Zhi-Yong Tao, Qingfu Wang, Shuanping Du
Citations27
SJR quartileQ1
SJR score0.70
SNIP1.19
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TL;DR
An approach is proposed to extract the modulated cavitation noise adaptively by combining empirical mode decomposition and singular value decomposition, and results for both synthetical and practical signals demonstrate the practicability and effectivity of the approach.
Abstract
Modulation analysis is an important issue in target classification and identification for ship-radiated noise. However, the modulated cavitation noise sought for analyzing is always submerged under strong ambient noise and difficult to be separated out. In this paper, an approach is proposed to extract the modulated cavitation noise adaptively by combining empirical mode decomposition and singular value decomposition. The results for both synthetical and practical signals demonstrate the practicability and effectivity of the approach.
Keywords
Earth and Planetary SciencesEngineering
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