Abstract
This research investigated characteristics of the ocean, specifically in the Gulf of Mexico, to find the best wavelet to use for compression of the recorded data. Recorded underwater acoustic data as well as other types of oceanic data were studied. The power spectral density before and after wavelet decomposition, compression, and recomposition (decompression) are compared to assess the quality of the compression. This research describes a method to choose the best wavelet to analyze ocean acoustic data, with future use in the study of sea surface temperatures and heights (tides). [This material is based upon work supported by the National Science Foundation REU program under DMR-2049188, and partially funded by the Naval Research Laboratory-Stennis Space Center.]
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