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Article Information:
Wavelet Analysis and De-noising of Signal
Angam Praveen, Nikhilesh, K. Vijayarekha, K. Manjula and B. Venkatraman
Corresponding Author: K. Manjula
Submitted: March 23, 2012
Accepted: April 26, 2012
Published: December 15, 2012 |
Abstract:
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Ultrasonic non-destructive testing process is one of the promising techniques in the field of
structural analysis of materials especially metals. Ultrasonic testing involves different noises that hamper
the detection of defects and their characteristics. Several signal processing techniques for de-noising and
weld defect detection such as slag, porosity, LF, LP, etc., have been proposed of which Discrete Wavelet
Transform is more popular. One important aspect of DWT is the choice of the mother wavelet. This study
presents a comparative study of the performance in de-noising using different mother wavelets.
Key words: Decomposition, DWT, mother wavelet, SNR, threshold, ,
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Cite this Reference:
Angam Praveen, Nikhilesh, K. Vijayarekha, K. Manjula and B. Venkatraman, . Wavelet Analysis and De-noising of Signal. Research Journal of Applied Sciences, Engineering and Technology, (24): 5534-5538.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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