Denoising of ocean acoustic signals using wavelet-based techniques
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Authors
Barsanti, Robert J.
Subjects
Advisors
Fargues, Monique P.
Hippenstiel, Ralph D.
Date of Issue
1996-12
Date
Publisher
Monterey, California. Naval Postgraduate School
Language
en_US
Abstract
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 their performances compared. Results from the comparisons are used to develop a wavelet-based denoising algorithm suitable for a wide variety of underwater acoustic transients. Performances of the denoising algorithm are compared to those of a short-time Wiener filter implementation, and demonstrate that wavelet-based methods are a viable tool for the denoising of acoustic data.
Type
Thesis
Description
Electrical Engineering;Engineering Acoustics
Series/Report No
Department
Organization
Identifiers
NPS Report Number
Sponsors
Funding
Format
104 p., ill.
Citation
Distribution Statement
Approved for public release; distribution is unlimited.