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Lavrenko, Anastasia; Römer, Florian; Del Galdo, Giovanni; Thomä, Reiner;
On the SNR variability in noisy compressed sensing. - In: IEEE signal processing letters : a publication of the IEEE Signal Processing Society.. - New York, NY : IEEE, ISSN 1558-2361, Bd. 24 (2017), 8, S. 1148-1152
Tu, Cheng; Frank, Astrid; Michael, Steffen; Stegner, Johannes; Stehr, Uwe; Hein, Matthias; Lee, Josh E.-Y.;
Applying laser Doppler vibrometry to probe anchor losses in MEMS AlN-on-Si contour mode resonators. - In: Sensors and actuators. - Amsterdam [u.a.] : Elsevier Science, ISSN 1873-3069, Bd. 263 (2017), S. 188-197
Fuschini, Franco; Häfner, Stephan; Zoli, Marco; Müller, Robert; Vitucci, Enrico Maria; Dupleich, Diego; Barbiroli, Marina; Luo, Jian; Schulz, Egon; Degli-Esposti, Vittorio; Thomä, Reiner;
Analysis of in-room mm-wave propagation: directional channel measurements and ray tracing simulations. - In: Journal of infrared, millimeter, and terahertz waves. - New York, NY : Springer, ISSN 1866-6906, Bd. 38 (2017), 6, S. 727-744
Mengelkamp, Judith; Carlstedt, Matthias; Weise, Konstantin; Ziolkowski, Marek; Brauer, Hartmut; Haueisen, Jens;
Current density reconstructions for Lorentz force evaluation. - In: Research in nondestructive evaluation. - Philadelphia, Pa. : Taylor & Francis, ISSN 1432-2110, Bd. 28 (2017), 2, S. 76-100

The detection and reconstruction of fatigue fractures is of great interest in quality assurance. In the framework of nondestructive testing, Lorentz force evaluation (LFE) is an evaluation technique to estimate flaws in electrically conductive materials based on measured Lorentz forces. In the forward solution for LFE, a defect can be interpreted as a distributed current source. This has motivated the authors to propose current density reconstructions (CDRs) calculated with minimum norm estimates to estimate defect geometries. The L1 and L2 norms tend to produce a solution which is either very focused or very smeared. To balance these constraints, the general Lp norm with 1 ≤ p ≤ 2 was used and the inverse solutions compared. This approach was applied to measured data obtained from a laminated composite and simulated data from a monolithic material. The results show that the L1.5 norm provides the most accurate inverse solutions. The location and extent of the defect are determined with an error of 15 % relative to the size of the defect. The depth estimation has a deviation of 50 %. It can be concluded that CDRs are a powerful method to reconstruct and characterize defects in LFE.
Vieira, Thiago P. B.; Tenório, Danilo F.; Costa, João Paulo C. L.; Freitas, Edison P.; Del Galdo, Giovanni; Sousa Júnior, Rafael T.;
Model order selection and eigen similarity based framework for detection and identification of network attacks. - In: Journal of network and computer applications. - London : Academic Press, ISSN 1084-8045, Bd. 90 (2017), S. 26-41
Baer, Christoph; Rolfes, Ilona; Musch, Thomas; Sachs, Jürgen;
Im Kampf gegen Landminen. - In: Forschung : das Magazin der Deutschen Forschungsgemeinschaft.. - Berlin : Wiley-VCH, ISSN 1522-2357, Bd. 42 (2017), 1, S. 20-23
Ibrahim, Mohamed; Ramireddy, Venkatesh; Lavrenko, Anastasia; König, Jonas; Römer, Florian; Landmann, Markus; Großmann, Marcus; Del Galdo, Giovanni; Thomä, Reiner S.;
Design and analysis of compressive antenna arrays for direction of arrival estimation. - In: Signal processing : a European journal devoted to the methods and applications of signal processing.. - Amsterdam [u.a.] : Elsevier, Bd. 138 (2017), S. 35-47
Steinwandt, Jens; Römer, Florian; Haardt, Martin; Del Galdo, Giovanni;
Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing. - In: IEEE transactions on signal processing : SP ; a publication of the IEEE Signal Processing Society.. - New York, NY : IEEE, Bd. 65 (2017), 9, S. 2262-2276
Gomes, Paulo R. B.; Almeida, André L. F.; Costa, João Paulo C. L.; Mota, João C. M.; Valle de Lima, Daniel; Del Galdo, Giovanni;
Tensor-based methods for blind spatial signature estimation in multidimensional sensor arrays. - In: International journal of antennas and propagation : IJAP.. - New York, NY : Hindawi, ISSN 1687-5877, Bd. 2017 (2017), Article ID 1615962, insges. 11 S.
Kehrle Miranda, Ricardo; Costa, João Paulo C. L.; Römer, Florian; Menezes, Leonardo R. A. X.; Del Galdo, Giovanni; Almeida, André L. F.;
Low complexity performance assessment of a sensor array via unscented transformation. - In: Digital signal processing : a review journal.. - Orlando, Fla. : Academic Press, ISSN 1051-2004, Bd. 63 (2017), S. 190-198