Reducing Ultrasonic Signal Noise by Algorithms based on Wavelet Thresholding

Authors

  • M. Kreidl
  • P. Houfek

DOI:

https://doi.org/10.14311/336

Keywords:

ultrasonic testing, wavelet transform, thresholding of wavelet coefficients, de-noising algorithms

Abstract

Traditional techniques for reducing ultrasonic signal noise are based on the optimum frequency of an acoustic wave, ultrasonic probe construction and low-noise electronic circuits. This paper describes signal processing methods for noise suppression using a wavelet transform. Computer simulations of the proposed testing algorithms are presented.

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Author Biographies

M. Kreidl

P. Houfek

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Published

2002-01-02

How to Cite

Kreidl, M., & Houfek, P. (2002). Reducing Ultrasonic Signal Noise by Algorithms based on Wavelet Thresholding. Acta Polytechnica, 42(2). https://doi.org/10.14311/336

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Section

Articles