An industry and government perspective on challenges and open problems in signal processing : ICASSP panel. - In: IEEE signal processing magazine, ISSN 1558-0792, Bd. 36 (2019), 2, S. 125-131
https://doi.org/10.1109/MSP.2018.2884869
M-estimator based Chinese Remainder Theorem with few remainders using a Kroenecker product based mapping vector. - In: Digital signal processing, ISSN 1051-2004, Bd. 87 (2019), S. 60-74
https://doi.org/10.1016/j.dsp.2019.01.009
A principled approach to conductivity uncertainty analysis in electric field calculations. - In: NeuroImage, ISSN 1095-9572, Bd. 188 (2019), S. 821-834
Uncertainty surrounding ohmic tissue conductivity impedes accurate calculation of the electric fields generated by non-invasive brain stimulation. We present an efficient and generic technique for uncertainty and sensitivity analyses, which quantifies the reliability of field estimates and identifies the most influential parameters. For this purpose, we employ a non-intrusive generalized polynomial chaos expansion to compactly approximate the multidimensional dependency of the field on the conductivities. We demonstrate that the proposed pipeline yields detailed insight into the uncertainty of field estimates for transcranial magnetic stimulation (TMS) and transcranial direct current stimulation (tDCS), identifies the most relevant tissue conductivities, and highlights characteristic differences between stimulation methods. Specifically, we test the influence of conductivity variations on (i) the magnitude of the electric field generated at each gray matter location, (ii) its normal component relative to the cortical sheet, (iii) its overall magnitude (indexed by the 98th percentile), and (iv) its overall spatial distribution. We show that TMS fields are generally less affected by conductivity variations than tDCS fields. For both TMS and tDCS, conductivity uncertainty causes much higher uncertainty in the magnitude as compared to the direction and overall spatial distribution of the electric field. Whereas the TMS fields were predominantly influenced by gray and white matter conductivity, the tDCS fields were additionally dependent on skull and scalp conductivities. Comprehensive uncertainty analyses of complex systems achieved by the proposed technique are not possible with classical methods, such as Monte Carlo sampling, without extreme computational effort. In addition, our method has the advantages of directly yielding interpretable and intuitive output metrics and of being easily adaptable to new problems.
https://doi.org/10.1016/j.neuroimage.2018.12.053
Sub-band versus space-delay precoding for wideband mmWave channels. - In: IEEE wireless communications letters, ISSN 2162-2345, Bd. 8 (2019), 1, S. 193-196
https://doi.org/10.1109/LWC.2018.2866250
Multi-band vehicle-to-vehicle channel characterization in the presence of vehicle blockage. - In: IEEE access, ISSN 2169-3536, Bd. 7 (2019), S. 9724-9735
https://doi.org/10.1109/ACCESS.2019.2892238
Enhanced direct fitting algorithms for PARAFAC2 with algebraic ingredients. - In: IEEE signal processing letters, ISSN 1558-2361, Bd. 26 (2019), 4, S. 533-537
https://doi.org/10.1109/LSP.2019.2897244
Automotive antenna roof for cooperative connected driving. - In: IEEE access, ISSN 2169-3536, Bd. 7 (2019), S. 20083-20090
https://doi.org/10.1109/ACCESS.2019.2897219
Low-complexity and high-accuracy semi-blind joint channel and symbol estimation for massive MIMO-OFDM. - In: Circuits, systems and signal processing, ISSN 1531-5878, Bd. 38 (2019), 3, S. 1114-1136
https://doi.org/10.1007/s00034-018-0898-1
Over-the-air testing of automotive antennas and wireless links in the installed state on the basis of LTE downlink communication parameters. - In: Advances in science, technology and engineering systems journal, ISSN 2415-6698, Bd. 4 (2019), 1, S. 282-291
https://doi.org/10.25046/aj040127
Vehicle-to-Pedestrian communication for vulnerable road users: survey, design considerations, and challenges. - In: Sensors, ISSN 1424-8220, Bd. 19 (2019), 2, 358, insges. 18 S.
https://doi.org/10.3390/s19020358