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Song, Y., Schreier, P. J., &; Roseveare, N. (2015). Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Roseveare, N., &; Schreier, P. J. (2015). Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing. Proc. IEEE Int. Conf. Acoustics, Speech and Signal Process.
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Ramírez, D., Schreier, P. J., Via, J., Santamaria, I., &; Scharf, L. L. (2015). Detection of multivariate cyclostationarity. IEEE Trans. Signal Processing, 63(20), 5395–5408.
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Russer, J. A., Uddin, N., Awny, A. S., Thiede, A., &; Russer, P. (2015). Near-field measurement of stochastic electromagnetic fields. IEEE Electromagnetic Compatibility Magazine, 4(3), 79–85.https://doi.org/10.1109/memc.2015.7336761 
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Ali, U., Bober, M., Thiede, A., Awny, A., &; Fischer, G. (2015). High speed static frequency divider design with 111.6 GHz self-oscillation frequency (SOF) in 0.13 &;amp;#;m SiGe BiCMOS technology. 2015 German Microwave Conference.https://doi.org/10.1109/gemic.2015.7107798 
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Ali, U., Bober, M., Thiede, A., &; Wagner, S. (2015). 100–166 GHz wide band high speed digital dynamic frequency divider design in 0.13 ;cm SiGe BiCMOS technology. 2015 10th European Microwave Integrated Circuits Conference (EuMIC).https://doi.org/10.1109/eumic.2015.7345071 
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Ali, U., Fischer, G., &; Thiede, A. (2015). Low power fundamental VCO design in D-band using 0.13 &;amp;#;m SiGe BiCMOS technology. 2015 German Microwave Conference.https://doi.org/10.1109/gemic.2015.7107827 
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Henriksson, E., Quevedo, D. E., Peters, E. G. W., Sandberg, H., &; Johansson, K. H. (2015). Multiple Loop Self-Triggered Model Predictive Control for Network Scheduling and Control. CDC, 23(6), 2167–2181.
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Ljesnjanin, M., Nesi, D., &; Quevedo, D. E. (2015). Uniform Global Asymptotic Stability of Networked Control Systems Affected with Packet Dropouts and Scheduling Issues.
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Li, Y., Quevedo, D. E., Dey, S., &; Shi, L. (2015). Fake-Acknowledgment Attack on ACK-Based Sensor Power Schedule for Remote State Estimation.
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Peters, E. G. W., Quevedo, D. E., &; Fu, M. (2015). Co-design for Control and Scheduling over Wireless Industrial Control Networks.
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Huang, K. Q., Dang, T. V., Ling, K. V., &; Quevedo, D. E. (2015). Event-triggered Anytime Control with Two Controllers.
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Li, Y., Shi, L., Cheng, P., Chen, J., &; Quevedo, D. E. (2015). Jamming Attacks on Remote State Estimation in Cyber-Physical Systems: A Game-Theoretic Approach. TAC, 60(10), 2831–2836.
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Knorn, S., Dey, S., Ahlén, A., &; Quevedo, D. E. (2015). Distortion Minimization in Multi-Sensor Estimation Using Energy Harvesting and Energy Sharing. TSP, 63(11), 2848–2863.
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Wu, J., Li, Y., Quevedo, D. E., Lau, V., &; Shi, L. (2015). Data-driven power control for state estimation: A Bayesian inference approach. AUTO, 54(4), 332–339.
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Gharibian, S., &; Sikora, J. (2015). Ground State Connectivity of Local Hamiltonians. In M. M. Halld\rquote orsson, K. Iwama, N. Kobayashi, &; B. Speckmann (Eds.), International Colloquium on Automata, Languages, and Programming (ICALP 2015) (pp. 617–628). Springer Berlin Heidelberg.https://doi.org/10.1007/978-3-662-47672-7_50 
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arXiv: 1409.3182

Gharibian, S., Huang, Y., Landau, Z., &; Woo Shin, S. (2015). Quantum Hamiltonian Complexity. Foundations and Trends® in Theoretical Computer Science, 10(3), 159–282.https://doi.org/10.1561/0400000066 
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arXiv: 1401.3916

Gharibian, S., Landau, Z., Woo Shin, S., &; Wang, G. (2015). Tensor network non-zero testing. Quantum Information &; Computation, 15(9 &; 10), 885–899.
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arXiv: 1406.5279

Vidor, F., Meyers, T., &; Hilleringmann, U. (2015). Flexible Electronics: Integration Processes for Organic and Inorganic Semiconductor-Based Thin-Film Transistors. Electronics, 4(3), 480–506.https://doi.org/10.3390/electronics4030480 
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