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    Abstract
2012 (Vol. 4, Issue: 24)
Article Information:

Wavelet Analysis and De-noising of Signal

Angam Praveen, Nikhilesh, K. Vijayarekha, K. Manjula and B. Venkatraman
Corresponding Author:  K. Manjula 

Key words:  Decomposition, DWT, mother wavelet, SNR, threshold, ,
Vol. 4 , (24): 5534-5538
Submitted Accepted Published
March 23, 2012 April 26, 2012 December 15, 2012
Abstract:

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.
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  Cite this Reference:
Angam Praveen, Nikhilesh, K. Vijayarekha, K. Manjula and B. Venkatraman, 2012. Wavelet Analysis and De-noising of Signal.  Research Journal of Applied Sciences, Engineering and Technology, 4(24): 5534-5538.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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