A Robust Detection Algorithm Using Frequency Diverse Multiple Observations
The detection of a flaw embedded in large-grained material using high-resolution broadband ultrasonic pulses is hindered by high amplitude interfering echoes (speckle) due to the unresolvable grain boundaries. The application of an optimal linear processor in this case is complicated by the fact that statistical parameters of the grain noise are not known a priori.
KeywordsStainless Steel Sample Frequency Increment Clutter Suppression Peak Coincidence Automatic Parameter Selection
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