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Shift invariant wavelet processing of ultrasonic traces

AuthorsPardo, Emilia CSIC; San Emeterio, José Luis CSIC; Rodríguez, Miguel A. CSIC ORCID ; Ramos, Antonio
KeywordsUltrasonic imaging and detection
Signal processing
Noise reduction
Wavelet processing
Discrete Wavelet Transform (DWT)
Undecimated Wavelet Transform (UWT)
Grain noise
Ultrasonic traces
Issue DateDec-2007
PublisherSociedad Española de Acústica
CitationXIX Congreso Internacional de Acústica (ICA2007)
AbstractWavelet processing has become a popular and well-established technique that offers good results and great flexibility for noise reduction. The basic wavelet de-noising scheme consists of a thresholding of the Discrete Wavelet Transform (DWT) coefficients. Nevertheless, some improvements over this basic non-linear scheme can be obtained by the use of Undecimated Wavelet Transforms (UWT), also known as redundant, shift-invariant or stationary wavelet transforms, because they provide redundant and translation invariant representations. The introduction of redundancy produces less efficient signal representations but it can be useful in de-noising. Ultrasonic traces are frequently contaminated with structural or grain noise, which can not be removed by classical time averaging or band-pass filtering. An analysis of wavelet de-noising of some individual traces is presented. In addition, a significant number of synthetic ultrasonic signals are also processed for a statistical study and comparison of UWT and DWT de-noising in terms of the signal-to-noise ratio of the resulting traces.
DescriptionPonencia presentada en el XIX Congreso Internacional de Acústica (ICA2007), Madrid, 2-7 Sep 2007.-- PACS: 43.60.Hj.
Appears in Collections:(IA) Comunicaciones congresos

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