Acoustic noise removal by combining wiener and wavelet filtering techniques
By: Fredric D. Forney, Jr
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1998
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 137
Description: 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.
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.