Acoustic noise removal by combining wiener and wavelet filtering techniques
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Authors
Forney, Fredric D.
Subjects
Wavelet Analysis
Wiener Filtering
Denoising
Acoustic Signals
Wiener Filtering
Denoising
Acoustic Signals
Advisors
Fargues, Monique P.
Hippenstiel, Ralph
Date of Issue
1998-06
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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
Type
Thesis
Description
Series/Report No
Department
Organization
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NPS Report Number
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Funder
Format
x, 137 p.;28 cm.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.