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Heindorf, S., Potthast, M., Stein, B., &; Engels, G. (2016). Vandalism Detection in Wikidata. Proceedings of the 25th International Conference on Information and Knowledge Management (CIKM 2016), 327--336.https://doi.org/10.1145/2983323.2983740 
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Gudyriev, S., Scheytt, C., Meister, S., Knoll, D., Lischke, S., Zimmermann, L., &; Meuer, C. (2016).https://doi.org/10.1109/GROUP4.2016.7739126__Low-Power, Ultra-compact, Fully-differential 40Gbps Direct Detection Receiver in 0.25;cm Photonic BiCMOS SiGe Technology. IEEE Group IV Photonics Conference.https://doi.org/10.1109/GROUP4.2016.7739126 
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Scheytt, C. (2016). Recent Advances in Millimeter-Wave-and Electronic-Photonic System-on-Chip Design. Microelectronics Seminar.
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Blömer, J., &; Bujna, K. (2016). Adaptive Seeding for Gaussian Mixture Models. In Advances in Knowledge Discovery and Data Mining (pp. 296–308). Springer International Publishing.https://doi.org/10.1007/978-3-319-31750-2_24 
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Colberg, C., Schürmann, M., Biehler, R., Hochmuth, R. K., Schaper, N., &; Liebendörfer, M. (2016). Projekt WiGeMath: Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase. In A. Hanft, F. Bischoff, &; B. Prang (Eds.), Working Paper Studieneingangsphase Perspektiven aus der Begleitforschung zum Qualitätspakt Lehre (pp. 19–22). Carl von Ossietzky Universität Oldenburg.
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Colberg, C., Biehler, R., Hochmuth, R., Schaper, N., Liebendörfer, M., &; Schürmann, M. (2016). Wirkung und Gelingensbedingungen von Unterstützungsmaßnahmen für mathematikbezogenes Lernen in der Studieneingangsphase. Beiträge Zum Mathematikunterricht 2016, 213–216.http://dx.doi.org/10.17877/DE290R-17376 
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Ali, U., Bober, M., &; Thiede, A. (2016). Design of voltage controlled oscillators (VCOs) in D-band and their phase noise measurements using frequency down-conversion. 2016 11th European Microwave Integrated Circuits Conference (EuMIC).https://doi.org/10.1109/eumic.2016.7777554 
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Al-Bermani, A., &; Noé, R. (2016). Comparison of Cost and Complexity for Various 16-QAM Transmitter Structures in Coherent Optical Systems. In G. Li &; X. Zhou (Eds.), NEXT-GENERATION OPTICAL COMMUNICATION: COMPONENTS, SUB-SYSTEMS, AND SYSTEMS V (Vol. 9774).https://doi.org/10.1117/12.2211264 
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Noé, R., Koch, B., &; Mirvoda, V. (2016). LiNbO3-Based Endless Optical Polarization Control The Photonic Alternative to Coherent Electronics. 2016 21ST EUROPEAN CONFERENCE ON NETWORKS AND OPTICAL COMMUNICATIONS (NOC).
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Koch, B., Noé, R., &; Mirvoda, V. (2016). Time-resolved Mueller matrix measurement and polarization scrambler characterization. 2016 21st European Conference on Networks and Optical Communications (NOC), 168–173.https://doi.org/10.1109/NOC.2016.7507007 
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Noé, R., Koch, B., &; Mirvoda, V. (2016). LiNbO3-based endless optical polarization control. 2016 21st European Conference on Networks and Optical Communications (NOC), 162–167.https://doi.org/10.1109/NOC.2016.7507006 
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Koch, B., Noé, R., Mirvoda, V., &; Sandel, D. (2016). Accelerated Testing of Polarization-Tracking Receiver Using Polarization Scrambler with Peaked Speed Distribution. Photonic Networks; 17. ITG-Symposium; Proceedings Of, 1–3.
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Rösler, M., &; Voit, M. (2016). Integral representation and sharp asymptotic results for some Heckman-Opdam hypergeometric functions of type BC. Transactions of the American Mathematical Society, 368(8), 6005–6032.https://doi.org/10.48550/ARXIV.1402.5793 
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Rösler, M., &; Voit, M. (2016). A multivariate version of the disk convolution. Journal of Mathematical Analysis and Applications, 435(1), 701–717.https://doi.org/10.1016/j.jmaa.2015.10.062 
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Koch, B., Noé, R., &; Mirvoda, V. (2016). Time-Resolved Mueller Matrix Measurement and Polarization Scrambler Characterization. 2016 21ST EUROPEAN CONFERENCE ON NETWORKS AND OPTICAL COMMUNICATIONS (NOC).
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Huang, L., Xiao, Y.-H., Liu, K., So, H. C., &; Zhang, J.-K. (2016). Bayesian Information Criterion for Source Enumeration in Large-Scale Adaptive Antenna Array. IEEE Transactions on Vehicular Technology, 65(5), 3018–3032.
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Tong, J., Schreier, P. J., Guo, Q., Tong, S., Xi, J., &; Yu, Y. (2016). Shrinkage of covariance matrices for linear signal estimation using cross-validation. IEEE Trans. Signal Process., 64(11), 2965–2975.
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Stein, M., Barbé, K., &; Nossek, J. A. (2016). DOA parameter estimation with 1-bit quantization - Bounds, methods and the exponential replacement. Proc. ITG Int. Work. Smart Ant.
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Zhang, L., Stein, M., &; Nossek, J. A. (2016). Asymptotic performance analysis for $-bit Bayesian smoothing. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Stein, M., Bar, S., Nossek, J. A., &; Tabrikian, J. (2016). Performance analysis for pilot-based $-bit channel estimation with unknown quantization threshold. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Tong, J., Guo, Q., Xi, J., Yu, Y., &; Schreier, P. J. (2016). Choosing the diagonal loading factor for linear signal estimation using cross validation. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Jurrus, E., Hodas, N., Baker, N., Marrinan, T., &; Hoover, M. D. (2016). Adaptive visual sort and summary of micrographic images of nanoparticles for forensic analysis. Technologies for Homeland Security (HST), 2016 IEEE Symposium On, 1–6.https://doi.org/10.1109/THS.2016.7568959 
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Xiao, Y.-. H., Huang, L., Xie, J., &; H. C. So,  and. (2016). Accurate Asymptotic Analysis for Johns Test in Multichannel Signal Detection. Proc. IEEE Int. Conf. Acoust., Speech, Signal Process. (ICASSP), 4358–4362.
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Song, Y., Schreier, P. J., Ramírez, D., &; Hasija, T. (2016). Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process., 128, 449–458.
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Hasija, T., Song, Y., Schreier, P. J., &; Ramírez, D. (2016). Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. Proc. IEEE Work. Stat. Signal Process.
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Hasija, T., Song, Y., Schreier, P. J., &; Ramírez, D. (2016). Bootstrap-based detection of the number of signals correlated across multiple data sets. Proc. Asilomar Conf. Signals Syst. Computers.
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Song, Y., Hasija, T., Schreier, P. J., &; Ramírez, D. (2016). Determining the number of signals correlated across multiple data sets for small sample support. Proc. Eur. Signal Process. Conf.
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Bañuelos, R., Bogdan, K., &; Luks, T. (2016). Hardy–Stein identities and square functions for semigroups. Journal of the London Mathematical Society, 94(2), 462–478.https://doi.org/10.1112/jlms/jdw042 
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Grynko, Y., Zentgraf, T., Meier, T., &; Förstner, J. (2016). Simulations of high harmonic generation from plasmonic nanoparticles in the terahertz region. Applied Physics B, 122(9), 242.https://doi.org/10.1007/s00340-016-6510-0 
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Pries, A., Ramírez, D., &; Schreier, P. J. (2016). Detection of cyclostationarity in the presence of temporal or spatial structure with applications to cognitive radio. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process., 4249–4253.https://doi.org/10.1109/ICASSP.2016.7472478 
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Marrinan, T., Beveridge, J. R., Draper, B., Kirby, M., &; Peterson, C. (2016). Flag-based detection of weak gas signatures in long-wave infrared hyperspectral image sequences. SPIE Defense, Security, and Sensing.https://doi.org/10.1117/12.2224117 
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Rezaee, M., Schreier, P. J., Guillaud, M., &; Clerckx, B. (2016). A unified scheme to achieve the degrees-of-freedom region of the MIMO interference channel with delayed channel state information. IEEE Trans. Comm., 64(3), 1068–1082.
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Soleymani, M., Maham, B., &; Ashtiani, F. (2016). Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN. Proc. IEEE International Conference on Communications (ICC), 1–6.https://doi.org/10.1109/ICC.2016.7511453 
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Levin-Schwartz, Y., Song, Y., Schreier, P. J., Calhoun, V. D., &; Adali, T. (2016). Sample-poor estimation of order and common signal subspace with application to fusion of medical imaging data. NeuroImage, 134, 486–493.
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Lameiro, C., &; Schreier, P. J. (2016). Cross-validation techniques for determining the number of correlated components between two data sets when the number of samples is very small. Proc. Asilomar Conf. Signals Syst. Computers.
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Lameiro, C., Santamaría, I., Utschick, W., &; Schreier, P. J. (2016). Maximally improper interference in underlay cognitive radio networks. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Stein, M., Nossek, J. A., &; Barbé, K. (2016). Measurement-driven quality assessment of nonlinear systems by exponential replacement. Proc. IEEE Int. Instrum. &; Meas. Tech. Conf.
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Soleymani, M., Maham, B., &; Ashtiani, F. (2016). Analysis of the downlink saturation throughput of an asymmetric IEEE 802.11 n-based WLAN. Proc. IEEE International Conference on Communications (ICC), 1–6.
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Ali, U., Bober, M., &; Thiede, A. (2016). An integrated 118.4 to122 GHz low noise phase-locked loop (PLL) in 0.13 µm SiGe BiCMOS technology. 2016 German Microwave Conference (GeMiC).https://doi.org/10.1109/gemic.2016.7461611 
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Peters, E. G. W., Quevedo, D. E., &; stergaard, J. (2016). Shaped Gaussian Dictionaries for Quantized Networked Control Systems with Correlated Dropouts. Trans. Signal Processing, 64(1), 203–213.
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Nagahara, M., Quevedo, D. E., &; Nesi, D. (2016). Maximum Hands-Off Control: A Paradigm of Control Effort Minimization. Trans. Automat. Contr., 61(3), 735–747.
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stergaard, J., &; Quevedo, D. E. (2016). Multiple Descriptions for Packetized Predictive Control. EURASIP J. Adv. Signal Processing.
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Peters, E. G. W., Quevedo, D. E., &; Fu, M. (2016). Controller and scheduler codesign for feedback control over IEEE 802.15.4 networks. Trans. Contr. Syst. Technol., 24(6), 2016–2030.
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Nagahara, M., stergaard, J., &; Quevedo, D. E. (2016). Discrete-time hands-off control by sparse optimization. EURASIP J. Adv. Signal Processing, 76(1), 1–8.
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Ljesnjanin, M., Nesi, D., &; Quevedo, D. E. (2016). Robust stability of a class of Networked Control Systems. Automatica, 73(6), 117–124.
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Leong, A. S., &; Quevedo, D. E. (2016). Kalman Filtering With Relays Over Wireless Fading Channels. Trans. Automat. Contr., 61(6), 1643–1648.
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Chatterjee, D., Nagahara, M., Quevedo, D. E., &; Rao, K. S. M. (2016). Characterization of maximum hands-off control. Syst. &; Contr. Lett., 94, 31–36.
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Leong, A. S., Quevedo, D. E., Ahlén, A., &; Johansson, K. H. (2016). On Network Topology Reconfiguration for Remote State Estimation.  Trans. Automat. Contr., 61(12), 3842–3856.
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de Beaudrap, N., &; Gharibian, S. (2016). A Linear Time Algorithm for Quantum 2-SAT. In R. Raz (Ed.), Proceedings of the 31st Conference on Computational Complexity (CCC 2016) (Vol. 50, p. 27:1-17:21). Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik.https://doi.org/10.4230/LIPIcs.CCC.2016.27 
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arXiv: 1508.07338