Modeling and Feature Extraction from the Noise of Underwater Vehicle Propeller Startup

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Abstract:

A noise model of underwater vehicle engine startup is proposed in this paper. Based on this model, a feature extraction method for time variety spectrum of engine startup is introduced. This method using hough transform to cumulate the points of the same spectrum lines in time-frequency space and detect the peaks in transform space. Simulation and data processing result show that the method can estimate the parameter of spectrum lines precisely.

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Periodical:

Advanced Materials Research (Volumes 756-759)

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4487-4491

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] ATIQUAZZAMANM. Multiresolution Hough Transform-An efficient method of detecting patterns in images[J]. IEEE Transactions.

Google Scholar

[2] Brbarossa S. Analysis of multicomponent LFM signals by a combined Wigner Hough transform[J]. IEEE Trans. on Signal Processing, 1995, 43(6): 1511-1515.

DOI: 10.1109/78.388866

Google Scholar

[3] M. Zhang. On the discretization of parameter domain Hough transformation. IEEEE Proceedings of ICPR'96. 527-531.

Google Scholar

[4] J. Illingworth and J. Kittler. A Survey of the Hough Transform. Computer Vision, Graphics and Image Processing. 1988. 44: 87-116.

DOI: 10.1016/s0734-189x(88)80033-1

Google Scholar

[5] Marr D. HildrethE. Theory of Edge Detectio[J]. Proc Rpy Soc, 1980, B(27): 187-217.

Google Scholar