Special Issue “Selected Papers from the 2018 41st International Conference on Telecommunications and Signal Processing (TSP)”
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Abstract
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Research context
OpenAlex topics: ECG Monitoring and Analysis · Wireless Body Area Networks · Blind Source Separation Techniques
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Affiliations
Department of Telecommunications, Brno University of Technology, Technicka 3082/12, 616 00 Brno, Czech Republic
Signal Processing for Telecommunications and Economics Laboratory (SP4TE), University of “Roma TRE”, via Vito Volterra 62, 00146 Rome, Italy
College of Engineering and Computing, University of South Carolina, Innovation Center, 550 Assembly Street, Suite 1300, Columbia, SC 29208, USA
References (10)
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1. Baldini, G., Giuliani, R., and Steri, G. (2018). Physical Layer Authentication and Identification of Wireless Devices Using the Synchrosqueezing Transform. Appl. Sci., 8.10.3390/app8112167 ↗
2. Erdogan, E., Çolak, S.A., Alakoca, H., Namdar, M., Basgumus, A., and Durak-Ata, L. (2018). Interference Alignment in Multi-Hop Cognitive Radio Networks under Interference Leakage. Appl. Sci., 8.10.3390/app8122486 ↗
3. Horvath, T., Munster, P., Oujezsky, V., and Vojtech, J. (2018). Activation Process of ONU in EPON/GPON/XG-PON/NG-PON2 Networks. Appl. Sci., 8.10.3390/app8101934 ↗
4. Kubanek, D., Freeborn, T.J., Koton, J., and Dvorak, J. (2018). Validation of Fractional-Order Lowpass Elliptic Responses of (1 + α)-Order Analog Filters. Appl. Sci., 8.10.3390/app8122603 ↗
5. Mucha, J., Mekyska, J., Galaz, Z., Faundez-Zanuy, M., Lopez-de Ipina, K., Zvoncak, V., Kiska, T., Smekal, Z., Brabenec, L., and Rektorova, I. (2018). Identification and Monitoring of Parkinson’s Disease Dysgraphia Based on Fractional-Order Derivatives of Online Handwriting. Appl. Sci., 8.10.3390/app8122566 ↗
6. Galaz, Z., Mekyska, J., Zvoncak, V., Mucha, J., Kiska, T., Smekal, Z., Eliasova, I., Mrackova, M., Kostalova, M., and Rektorova, I. (2018). Changes in Phonation and Their Relations with Progress of Parkinson’s Disease. Appl. Sci., 8.10.3390/app8122339 ↗
7. Luengo, D., Meltzer, D., and Trigano, T. (2018). An Efficient Method to Learn Overcomplete Multi-Scale Dictionaries of ECG Signals. Appl. Sci., 8.10.20944/preprints201811.0199.v1 ↗
8. Kolařík, M., Burget, R., Uher, V., Říha, K., and Dutta, M.K. (2019). Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation. Appl. Sci., 9.10.3390/app9030404 ↗
9. Radoi, A., and Burileanu, C. (2018). Retrieval of Similar Evolution Patterns from Satellite Image Time Series. Appl. Sci., 8.10.3390/app8122435 ↗
10. Liu, X., Xu, H., Wang, Y., Dai, Y., Li, N., and Liu, G. (2019). Calibration for Sample-And-Hold Mismatches in M-Channel TIADCs Based on Statistics. Appl. Sci., 9.10.3390/app9010198 ↗