DOI: 10.31274/rtd-180813-12880
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A prior knowledge based optimal Wiener filtering approach to ultrasonic scattering amplitude estimation

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Cited by 7 publications
(42 citation statements)
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“…stainless steel with an average grain size of 22.5~m (ASTM 8); 2. stainless steel with an average grain size of 62.5~m (ASTM 5); and 3. aluminum with 2% porosity (average pore radius 164~m [1]). Samples 1 and 3 were interrogated with a planar transducer while sample 2 was interrogated with a focused transducer.…”
Section: Samplesmentioning
confidence: 99%
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“…stainless steel with an average grain size of 22.5~m (ASTM 8); 2. stainless steel with an average grain size of 62.5~m (ASTM 5); and 3. aluminum with 2% porosity (average pore radius 164~m [1]). Samples 1 and 3 were interrogated with a planar transducer while sample 2 was interrogated with a focused transducer.…”
Section: Samplesmentioning
confidence: 99%
“…Measured acoustic noise involves the convolution of measurement system effects with a noise related operator [1,2). Acoustic noise can be modeled in the frequency domain as …”
Section: Introductionmentioning
confidence: 99%
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“…Subbarao [4] showed this type offilter works weil in deconvolving blurry optical images when a known PSF of the Jens is used in the filter. Optimization ofthe parameter r has been subjected to extensive analysis by Neal [5] for the 1-D case and by Dines and Kak [6] for the 2-D case.…”
Section: Convolution and Deconvolutionmentioning
confidence: 99%