Signal-to-Noise Ratio Improvement based on the Discrete Wavelet Transform in Ultrasonic Defectoscopy
DOI:
https://doi.org/10.14311/606Keywords:
ultrasonic testing, discrete wavelet transform, de-noising algorithmsAbstract
In ultrasonic testing it is very important to recognize the fault echoes buried in a noisy signal. The fault echo characterizes a flaw in the material. An important requirement on ultrasonic signal filtering is zero-time shift, because the position of ultrasonic echoes is essential. This requirement is accomplished using the discrete wavelet transform (DWT), which is used for reducing the signal-to-noise ratio. This paper evaluates the quality of filtering using the discrete wavelet transform. Additional computer simulations of the proposed algorithms are presented.Downloads
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Published
2004-01-04
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Section
Articles
How to Cite
Matz, V., Kreidl, M., & Šmíd, R. (2004). Signal-to-Noise Ratio Improvement based on the Discrete Wavelet Transform in Ultrasonic Defectoscopy. Acta Polytechnica, 44(4). https://doi.org/10.14311/606