Denoising of acoustic signals using wavelet/wiener based techniques
Fargues, Monique P.
Hippenstiel, Ralph D.
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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 performances compared. Performances of the denoising algorithms are compared to those of Wiener filter and wavelet thresholding implementation and demonstrate that Wavelet/Wiener based methods are also a viable tool for the denoising of acoustic data under more restrictive conditions.
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Hughes, John B. (Monterey, California. Naval Postgraduate School, 2003-03);This thesis investigates and compares time and wavelet-domain denoising techniques where received signals contain broadband noise. We consider how time and wavelet-domain denoising schemes and their combinations compare ...
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 ...
Forney, Fredric D. (Monterey, California. Naval Postgraduate School, 1998-06);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 ...