
Publica
Hier finden Sie wissenschaftliche Publikationen aus den Fraunhofer-Instituten. Defect Detection from Compressed 3-D Ultrasonic Frequency Measurements
| Bugallo, Mónica F. (General Chair) ; Institute of Electrical and Electronics Engineers -IEEE-; European Association for Signal Processing -EURASIP-: 27th European Signal Processing Conference, EUSIPCO 2019 : A Coruña, Spain, September 2-6, 2019 Piscataway, NJ: IEEE, 2019 ISBN: 978-9-0827-9703-9 ISBN: 978-90-827970-2-2 ISBN: 978-1-5386-7300-3 5 S. |
| European Signal Processing Conference (EUSIPCO) <27, 2019, A Coruña/Spain> |
| Deutsche Forschungsgemeinschaft DFG CoSMoS |
| Fraunhofer-Gesellschaft FhG Attract 025-601128 |
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| Englisch |
| Konferenzbeitrag |
| Fraunhofer IZFP () |
| 3D ultrasonic imaging; Sparse Signal Recovery (SSR); compressive sensing; SAFT |
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.