Accession Number : ADA329379

Title :   Denoising of Ocean Acoustic Signals using Wavelet-Based Techniques.

Descriptive Note : Master's thesis,

Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA

Personal Author(s) : Barsanti, Robert J., Jr

PDF Url : ADA329379

Report Date : DEC 1996

Pagination or Media Count : 115

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.

Descriptors :   *ACOUSTIC SIGNALS, *NOISE REDUCTION, *UNDERWATER ACOUSTICS, *WAVELET TRANSFORMS, ALGORITHMS, REMOVAL, THESES, SHORT RANGE(TIME), MATHEMATICAL FILTERS, OCEANS, ACOUSTIC DATA, UNDERWATER SOUND SIGNALS.

Subject Categories : Acoustics

Distribution Statement : APPROVED FOR PUBLIC RELEASE