Acoustic noise removal by combining wiener and wavelet filtering techniques
Forney, Fredric D.
Fargues, Monique P.
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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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Cebeci, Coskun. (Monterey, California. Naval Postgraduate School, 1998-06);This thesis investigates the use of combined Wavelet decomposition and Wiener filtering for the removal of noise from underwater acoustic signals. Several Wavelet/Wiener based denoising techniques are presented and their ...
Barsanti, Robert J. (Monterey, California. Naval Postgraduate School, 1996-12);This thesis investigates the use of wavelets, wavelet packets and cosine packet signal decompositions for the removal of noise from underwater acoustic signals. Several wavelet based denoising techniques are presented and ...
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