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Titlebook: Signal Processing and Pattern Recognition in Nondestructive Evaluation of Materials; C. H. Chen Conference proceedings 1988 Springer-Verla

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Conference proceedings 1988, 1987 at the Manoir St-Castin, Lac Beauport, Quebec, Canada. Modern signal processing, pattern recognition and artificial intelligence have been playing an increasingly important role in improving nondestructive evaluation and testing techniques. The cross fertilization of the two major areas can l
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Eddy Current Modeling and Signal Processing in NDEile the reader is encouraged to read [1] in order to understand the electromagnetic details of the model and algorithm, we will review the equations in the next section, and then concentrate on applying the algorithm to laboratory reconstructions.
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A 3-D Image Segmentation Algorithmthe algorithm via the definition of the Search Space.The algorithm uses this definition of the Search Space to obtain the Surface Candidate elements.The search space specification reduces the computational cost and increases the reliability of the detected features.The detected surface is represented as a hierarchical combination of patches.
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Advances in Born Inversion give the diameter of a flaw from measurements in the Born Radius/Zero-of-Time Shift Domain (BR/ZOTSD) without the explicit need to select a correct zero-of-time for the inversion. A signature for the flaw is obtained by plotting the estimated flaw radius as a function of a certain time shift, (shif
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A Split Spectrum Processing Method of Scatterer Density Estimation reported. A wide-band received spectrum is partitioned into separated frequency bands which are normalized and filtered by Gaussian windows. The estimation algorithm is based on a theory which states that the squared ratio of the sample mean of the amplitudes produced by the split narrow-band signa
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