Denoising of Ocean Acoustic Signals using Wavelet-Based Techniques.
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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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.