Application of wavelets to the pre-processing of underwater sounds

Journal article


Powell, K., Sapatinas, T., Bailey, T. and Krzanowski, W. 1995. Application of wavelets to the pre-processing of underwater sounds. Statistics and Computing. 5 (4), pp. 265-273. https://doi.org/10.1007/BF00162499
AuthorsPowell, K., Sapatinas, T., Bailey, T. and Krzanowski, W.
Abstract

In this paper we consider data on underwater sounds of differing types. Our objective is to filter background noise and achieve an acceptable level of reduction in the raw data, whilst at the same time maintaining the main features of the original signal. In particular, we consider data compression through the use of wavelet analysis followed by a thresholding of small coefficients in the resulting multiresolution decomposition. Various methods to threshold the wavelet representation are discussed and compared using recordings of dolphin sounds. An empirical modification to one of them is also proposed which shows promise in better preserving certain structures in our particular sound data.

KeywordsComputer science
Year1995
JournalStatistics and Computing
Journal citation5 (4), pp. 265-273
PublisherSpringer
ISSN0960-3174
Digital Object Identifier (DOI)https://doi.org/10.1007/BF00162499
Official URLhttp://doi.org/10.1007/BF00162499
Publication dates
Print1995
Publication process dates
Deposited10 Aug 2011
Output statusPublished
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https://repository.canterbury.ac.uk/item/8669w/application-of-wavelets-to-the-pre-processing-of-underwater-sounds

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