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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Main Author:	Cebeci, Coskun.
Other Authors:	Monique P. Fargues
Language:	en_US
Published:	Monterey, California. Naval Postgraduate School 2013
Online Access:	http://hdl.handle.net/10945/32685

id	ndltd-nps.edu-oai-calhoun.nps.edu-10945-32685
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spelling	ndltd-nps.edu-oai-calhoun.nps.edu-10945-326852014-11-27T16:18:26Z Denoising of acoustic signals using wavelet/wiener based techniques Cebeci, Coskun. Monique P. Fargues Ralph D. Hippenstiel. NA Electrical Engineering 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. 2013-05-06T18:43:56Z 2013-05-06T18:43:56Z 1998-06 Thesis http://hdl.handle.net/10945/32685 en_US Approved for public release, distribution unlimited Monterey, California. Naval Postgraduate School
collection	NDLTD
language	en_US
sources	NDLTD
description	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.
author2	Monique P. Fargues
author_facet	Monique P. Fargues Cebeci, Coskun.
author	Cebeci, Coskun.
spellingShingle	Cebeci, Coskun. Denoising of acoustic signals using wavelet/wiener based techniques
author_sort	Cebeci, Coskun.
title	Denoising of acoustic signals using wavelet/wiener based techniques
title_short	Denoising of acoustic signals using wavelet/wiener based techniques
title_full	Denoising of acoustic signals using wavelet/wiener based techniques
title_fullStr	Denoising of acoustic signals using wavelet/wiener based techniques
title_full_unstemmed	Denoising of acoustic signals using wavelet/wiener based techniques
title_sort	denoising of acoustic signals using wavelet/wiener based techniques
publisher	Monterey, California. Naval Postgraduate School
publishDate	2013
url	http://hdl.handle.net/10945/32685
work_keys_str_mv	AT cebecicoskun denoisingofacousticsignalsusingwaveletwienerbasedtechniques
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Denoising of acoustic signals using wavelet/wiener based techniques

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