Wavelet-based signal recovery and denoising of underwater acoustic signals

Lora G. Weiss, Teresa L. Dixon

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper presents a multiresolution approach to removing unwanted backscatter from high frequency underwater acoustic signals and compares it to high pass filtering of the same signals. Since the unwanted backscatter typically concentrates in the low frequencies, high pass filters are often applied but with limited effectiveness. It turns out that some of the backscattering actually appears across several frequencies, and so a more flexible filtering approach is needed. The filtering approach presented applies wavelet transforms for signal recovery and denoising of high frequency acoustic signals. Wavelet transforms are applied since they perform a multiresolution decomposition in time and frequency and therefore are well suited for removing specific unwanted signal components that may vary spectrally. It is shown that by computing a wavelet transform of the returned signals, applying a denoising technique, and then reconstructing the signals, additional unwanted backscatter can be removed.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsAndrew F. Laine, Michael A. Unser, Mladen V. Wickerhauser
Pages246-257
Number of pages12
Edition1/-
StatePublished - Dec 1 1995
EventWavelet Applications in Signal and Image Processing III. Part 1 (of 2) - San Diego, CA, USA
Duration: Jul 12 1995Jul 14 1995

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Number1/-
Volume2569
ISSN (Print)0277-786X

Conference

ConferenceWavelet Applications in Signal and Image Processing III. Part 1 (of 2)
CitySan Diego, CA, USA
Period7/12/957/14/95

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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  • Cite this

    Weiss, L. G., & Dixon, T. L. (1995). Wavelet-based signal recovery and denoising of underwater acoustic signals. In A. F. Laine, M. A. Unser, & M. V. Wickerhauser (Eds.), Proceedings of SPIE - The International Society for Optical Engineering (1/- ed., pp. 246-257). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2569 , No. 1/-).