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This thesis investigates the application of Wiener filtering and wavelet techniques for the removal of noise from underwater acoustic signals. Both FIR and IIR Wiener filters are applied in separate methods which involve the filtering of wavelet coefficients which have been produced through a discrete wavelet decomposition of the acoustic signal. The effectiveness of the noise removal methods is evaluated by applying them to simulated data. The combined Wiener wavelet filtering methods are compared to traditional denoising techniques which include Wiener filtering and wavelet thresholding methods.
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Acoustic noise removal by combining wiener and wavelet filtering techniques
1998, Naval Postgraduate School, Available from National Technical Information Service
in English
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Book Details
Edition Notes
"June 1998."
Thesis advisor(s): Monique P. Fargues, Ralph Hippenstiel.
Thesis (M.S. in Management) Naval Postgraduate School, June 1998.
Includes bibliographical references (p. 133-135).
Approved for public release; distribution unlimited.
Also available online.
Mode of access: World Wide Web.
System requirements: Adobe Acrobat reader.
US Navy (USN) author.
dk/dk cc:9116 9/2/98.
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