On the SNR variability in noisy compressed sensing. - In: IEEE signal processing letters, ISSN 1558-2361, Bd. 24 (2017), 8, S. 1148-1152
https://doi.org/10.1109/LSP.2017.2689243
Analysis of in-room mm-wave propagation: directional channel measurements and ray tracing simulations. - In: Journal of infrared, millimeter, and terahertz waves, ISSN 1866-6906, Bd. 38 (2017), 6, S. 727-744
https://doi.org/10.1007/s10762-017-0366-1
Model order selection and eigen similarity based framework for detection and identification of network attacks. - In: Journal of network and computer applications, ISSN 1095-8592, Bd. 90 (2017), S. 26-41
https://doi.org/10.1016/j.jnca.2017.04.012
Im Kampf gegen Landminen. - In: Forschung, ISSN 1522-2357, Bd. 42 (2017), 1, S. 20-23
https://doi.org/10.1002/fors.201790001
Design and analysis of compressive antenna arrays for direction of arrival estimation. - In: Signal processing, Bd. 138 (2017), S. 35-47
https://doi.org/10.1016/j.sigpro.2017.03.013
Performance analysis of multi-dimensional ESPRIT-type algorithms for arbitrary and strictly non-circular sources with spatial smoothing. - In: IEEE transactions on signal processing, ISSN 1941-0476, Bd. 65 (2017), 9, S. 2262-2276
https://doi.org/10.1109/TSP.2017.2652388
Tensor-based methods for blind spatial signature estimation in multidimensional sensor arrays. - In: International journal of antennas and propagation, ISSN 1687-5877, Bd. 2017 (2017), Article ID 1615962, insges. 11 S.
https://doi.org/10.1155/2017/1615962
Low complexity performance assessment of a sensor array via unscented transformation. - In: Digital signal processing, ISSN 1051-2004, Bd. 63 (2017), S. 190-198
http://dx.doi.org/10.1016/j.dsp.2017.01.007
ESPRIT-Hilbert-based audio tampering detection with SVM classifier for forensic analysis via electrical network frequency. - In: IEEE transactions on information forensics and security, ISSN 1556-6021, Bd. 12 (2017), 4, S. 853-864
https://doi.org/10.1109/TIFS.2016.2636095
Tensor-based methods for blind spatial signature estimation under arbitrary and unknown source covariance structure. - In: Digital signal processing, ISSN 1051-2004, Bd. 62 (2017), S. 197-210
http://dx.doi.org/10.1016/j.dsp.2016.12.003