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
Addeddate
2021-01-30 15:59:54
Advisor
Fargues, Monique P. Hippenstiel, Ralph
Degree_discipline
Management
Degree_grantor
Naval Postgraduate School
Degree_level
Masters
Degree_name
M.S. in Management
Distributionstatement
Approved for public release; distribution is unlimited.
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