Defect detection from compressed 3-D ultrasonic frequency measurements

Semper S, Kirchhof J, Wagner C, Krieg F, Roemer F, Galdo GD (2019)


Publication Type: Conference contribution

Publication year: 2019

Publisher: European Signal Processing Conference, EUSIPCO

Book Volume: 2019-September

Conference Proceedings Title: European Signal Processing Conference

Event location: A Coruna, ESP

ISBN: 9789082797039

DOI: 10.23919/EUSIPCO.2019.8903133

Abstract

In this paper, we propose a compressed sensing scheme for volumetric synthetic aperture measurements in ultrasonic nondestructive testing. The compression is achieved by limiting the measurement to a subset of the Fourier coefficients of the full measurement data, where we also address the issue of a suitable hardware architecture for the task. We present a theoretic analysis for one of the proposed schemes in terms of the Restricted Isometry Property and derive a scaling law for the lower bound of the number of necessary measurements for stable and efficient recovery. We verify our approach with reconstructions from measurement data of a steel specimen that was compressed synthetically in software. As a side result, our approach yields a variant of the 3-D Synthetic Aperture Focusing Technique which can deal with compressed data.

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How to cite

APA:

Semper, S., Kirchhof, J., Wagner, C., Krieg, F., Roemer, F., & Galdo, G.D. (2019). Defect detection from compressed 3-D ultrasonic frequency measurements. In European Signal Processing Conference. A Coruna, ESP: European Signal Processing Conference, EUSIPCO.

MLA:

Semper, Sebastian, et al. "Defect detection from compressed 3-D ultrasonic frequency measurements." Proceedings of the 27th European Signal Processing Conference, EUSIPCO 2019, A Coruna, ESP European Signal Processing Conference, EUSIPCO, 2019.

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