Denoising of acoustic signals using wavelet/wiener based techniques
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...
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| Language: | en_US |
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Monterey, California. Naval Postgraduate School
2013
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| Online Access: | http://hdl.handle.net/10945/32685 |
| Summary: | 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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