Abstract
Sign LMS algorithms, members of the simplified adaptive least-mean-squares class, have been developed to reduce computational complexity and simplify hardware implementation. These advantages make them suitable to utilize in ultrasonic testing units, a class of applications requiring simple and efficient signal processing algorithms. This paper proposes a specific sign LMS adaptive filters-based deconvolution technique for ultrasonic straight beam pulse-echo inspections. It extracts only two of the interface echoes multiple reflections for enhanced resolution and quality-enriched presentation; this technique is named "selective deconvolution". Resolution enhancement and presentation's quality enrichment performance among the different sign LMS algorithms were investigated by experiments, and based on performance, the methods themselves were compared. Computational requirements are also presented. The proposed technique with the various adaptive sign LMS filters gave satisfactory results.
Original language | English |
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Pages (from-to) | 609-613 |
Journal | Russian Journal of Nondestructive Testing |
Volume | 48 |
Issue number | 10 |
DOIs | |
Publication status | Published - Oct 2012 |
MoE publication type | A1 Journal article-refereed |
Funding
This study was supported by the Ministry of Knowledge Economy (MKE) through the Regional Inno vation Centre program.
Keywords
- adaptive LMS
- resolution
- selective deconvolution
- sign LMS