Literatura científica selecionada sobre o tema "Rfsoi"
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Artigos de revistas sobre o assunto "Rfsoi"
Abbadie, Alexandra, C. Pribat, V. Gredy, V. Brouzet e E. Sereix. "Impact of Oxygen on the Generation of Slip Lines and the Electronic Properties of Si-based Substrates". ECS Transactions 112, n.º 1 (29 de setembro de 2023): 147–56. http://dx.doi.org/10.1149/11201.0147ecst.
Texto completo da fonteDai, Ruofan. "A 0.6-V sub-mW X-band RFSOI CMOS LNA with novel complementary current-reused technique". International Journal of Circuit Theory and Applications 45, n.º 12 (7 de março de 2017): 2046–56. http://dx.doi.org/10.1002/cta.2336.
Texto completo da fonteCosta, Julio. "Passing the Plateau of Productivity: Development of RFSOI Technologies on HR Silicon Substrates for Reconfigurable Wireless Solutions". IEEE Microwave Magazine 15, n.º 7 (novembro de 2014): S61—S73. http://dx.doi.org/10.1109/mmm.2014.2356152.
Texto completo da fonteWu, Zhuo-Jie, Haojun Zhang e John Malinowski. "Understanding and Improving Reliability for Wafer Level Chip Scale Package: A Study Based on 45nm RFSOI Technology for 5G Applications". IEEE Journal of the Electron Devices Society 8 (2020): 1305–14. http://dx.doi.org/10.1109/jeds.2020.3023007.
Texto completo da fonteErgesh, Toktonur, Jian Li, Xue-Feng Duan, Xin Pei e Zhi-Gang Wen. "Development of Pulsar Digital Backend Based on RFSoC". Research in Astronomy and Astrophysics 22, n.º 2 (1 de fevereiro de 2022): 025002. http://dx.doi.org/10.1088/1674-4527/ac3ad9.
Texto completo da fontePark, Kun Hee, Yung Szen Yap, Yuanzheng Paul Tan, Christoph Hufnagel, Long Hoang Nguyen, Karn Hwa Lau, Patrick Bore et al. "ICARUS-Q: Integrated control and readout unit for scalable quantum processors". Review of Scientific Instruments 93, n.º 10 (1 de outubro de 2022): 104704. http://dx.doi.org/10.1063/5.0081232.
Texto completo da fonteAxani, S. N., S. Futagi, M. Garcia, C. Grant, K. Hosokawa, S. Ieki, K. Inoue et al. "RFSoC-based front-end electronics for pulse detection". Journal of Instrumentation 19, n.º 03 (1 de março de 2024): P03013. http://dx.doi.org/10.1088/1748-0221/19/03/p03013.
Texto completo da fonteAhmed, Faroque. "Dynamic spillovers of various uncertainties to Russian financial stress: Evidence from quantile dependency and frequency connectedness approaches". Russian Journal of Economics 10, n.º 3 (2 de outubro de 2024): 246–73. http://dx.doi.org/10.32609/j.ruje.10.126926.
Texto completo da fonteLiu, Chao, Ryan Herbst, Larry Ruckman e Emilio Nanni. "Next Generation LLRF Control Platform for Compact C-band Linear Accelerator". EPJ Web of Conferences 315 (2024): 02008. https://doi.org/10.1051/epjconf/202431502008.
Texto completo da fonteBergamaschi, L., e A. Martínez. "Parallel RFSAI-BFGS Preconditioners for Large Symmetric Eigenproblems". Journal of Applied Mathematics 2013 (2013): 1–10. http://dx.doi.org/10.1155/2013/767042.
Texto completo da fonteTeses / dissertações sobre o assunto "Rfsoi"
Bordignon, Thomas. "RFSOI Technology Development by means of new substrate methodologies for 5G Applications". Electronic Thesis or Diss., Université de Lille (2022-....), 2024. http://www.theses.fr/2024ULILN041.
Texto completo da fonteRF CMOS technology, initially used for Bluetooth and GPS in the 1990s, is now crucial for cellular networking in smartphones, PCs, and WiFi modems. The transition from 4G to 5G has driven the need for continuous improvements of the transistors employed in the RF Front End Modules, and now 6G development requires cost-effective and high-performance LNAs and switches capable of working in the mm-Waves frequencies range. The primary objective of this thesis is to improve key performance metrics of the STMicroelectronics CMOS65SOIMMW PDSOI devices, which means reducing RONCOFF while keeping how RFVMAX values for switches transistors and increasing fT and fMAX for LNA transistors. This involves reducing parasitic capacitances and enhancing electron mobility by means of modifications of the SOI substrate. Three projects were undertaken to address these objectives: ThinSOI, Strained SOI, and Channel Orientation. The ThinSOI project investigates the impact of reducing the SOI layer thickness, typically 75 nm, to improve parasitic capacitances and RF switch performance. The Strained SOI project aims to enhance electron mobility through strain engineering by integrating a novel SiGe-based stressor method that introduces significant tensile stress within the silicon channel. The Channel Orientation project examines electron mobility variations along different crystalline directions (<100> and <110>). For each project, a comprehensive approach was employed which involved the design of experiments to modify fabrication processes and hence devices characteristics, computational modeling to support and predict improvements and help in the understanding of physical and electrical phenomena, and device characterization to gather empirical data
Indrák, Dominik. "Rekonfigurovatelný generátor 5G NR signálů na RFSoC FPGA". Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2020. http://www.nusl.cz/ntk/nusl-413151.
Texto completo da fonteJereb, Alexander Robert. "Design and implementation of a Radio-Frequency detection algorithm for use within A Radio-Frequency System on Chip". University of Dayton / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1608145466947488.
Texto completo da fonteFazzini, Enrico. "frequency-diverse arrays design and control for accurate wireless power transmission". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2020. http://amslaurea.unibo.it/21111/.
Texto completo da fonteLávička, Tomáš. "Klasifikace (in)finitárních logik". Master's thesis, 2015. http://www.nusl.cz/ntk/nusl-350171.
Texto completo da fonteCapítulos de livros sobre o assunto "Rfsoi"
Klingner, Mathias, Sven Hellbach, Martin Riedel, Marika Kaden, Thomas Villmann e Hans-Joachim Böhme. "RFSOM – Extending Self-Organizing Feature Maps with Adaptive Metrics to Combine Spatial and Textural Features for Body Pose Estimation". In Advances in Self-Organizing Maps and Learning Vector Quantization, 157–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07695-9_15.
Texto completo da fonteBergamaschi Luca e Martínez Ángeles. "Spectral Acceleration of Parallel Iterative Eigensolvers for Large Scale Scientific Computing". In Advances in Parallel Computing. IOS Press, 2018. https://doi.org/10.3233/978-1-61499-843-3-107.
Texto completo da fonte"RFSI)ONI}ING TO THE ENVIRONMENT". In Making Sense of Secondary Science, 86–88. Routledge, 2004. http://dx.doi.org/10.4324/9780203978016-26.
Texto completo da fonteTrabalhos de conferências sobre o assunto "Rfsoi"
Pei, Xiaoqing, Xu Zhu, Hanzhong Xu e Xudong Wang. "Integrated Balun Balance Improving Method in Advanced RFSOI Process". In 2024 Asia-Pacific Microwave Conference (APMC), 414–16. IEEE, 2024. https://doi.org/10.1109/apmc60911.2024.10867687.
Texto completo da fonteJain, Sameer H., R. Mullapudi, K. Shanbhag, T. Ethirajan, Y. Hu, Y. Li, T. Chowdhury et al. "A new 45nm RFSOI Technology Optimized for Low Power, High Performance mmWave Applications". In 2024 19th European Microwave Integrated Circuits Conference (EuMIC), 102–5. IEEE, 2024. http://dx.doi.org/10.23919/eumic61603.2024.10732257.
Texto completo da fonteBordignon, Thomas, Luca Lucci, Thibaud Fache, Clément Pribat, Magali Grégoire, Adrien Estellon, Frédéric Monsieur et al. "Enhanced RF Switch Performance in RFSOI Technology: Achieving 74 fs RON·COFF and 3.3 V RFVMAX on Thinned SOI". In 2024 IEEE European Solid-State Electronics Research Conference (ESSERC), 448–51. IEEE, 2024. http://dx.doi.org/10.1109/esserc62670.2024.10719593.
Texto completo da fonteKovacs, Gergo, Raluca Nelega, Alexandru Oprea, Radu Voina, Romulus Valeriu Flaviu Turcu e Emanuel Puschita. "Custom-Designed Signal Processing Application for RFSoC FPGA Platform". In 2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 1–6. IEEE, 2024. http://dx.doi.org/10.23919/softcom62040.2024.10721695.
Texto completo da fonteYuan, Yue, Jianyong Tu, Lin Lu e Si Chen. "Design of Cognitive Radio Hardware Platform Based on RFSoC". In 2024 9th International Conference on Intelligent Computing and Signal Processing (ICSP), 1515–19. IEEE, 2024. http://dx.doi.org/10.1109/icsp62122.2024.10743654.
Texto completo da fonteDai, GanE, e Pengfei Xie. "Optimization of DMA Operations for RFSOC in Radar Systems". In 2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS), 677–80. IEEE, 2024. https://doi.org/10.1109/eiecs63941.2024.10800299.
Texto completo da fonteGartmann, Robert, Valentin Stumpert, Lukas Scheller, Richard Weller, Luis E. Ardila-Perez e Oliver Sander. "Mixerless RFSoC Microwave Signal Generation for Superconducting Circuit Applications". In 2024 IEEE International Conference on Quantum Computing and Engineering (QCE), 565–66. IEEE, 2024. https://doi.org/10.1109/qce60285.2024.10407.
Texto completo da fonteYang, Jinmo, Jun-Ho Choi, Juhyun Yoon, Il-Tak Han, Tae-Wan Kim, Ho-Sang Kwon e Seon-Jin Oh. "A Transmit/Receive Digital Processor with RFSoC for Array Antenna Systems". In 2024 21st European Radar Conference (EuRAD), 220–23. IEEE, 2024. http://dx.doi.org/10.23919/eurad61604.2024.10734925.
Texto completo da fonteUllah, Kefayet, Satheesh Bojja Venkatakrishnan e John L. Volakis. "Experimental Validation of A RFSoC FPGA-Based Single-Chip Digital-RF Radio". In 2023 URSI International Symposium on Electromagnetic Theory (EMTS), 224–26. IEEE, 2023. https://doi.org/10.1109/emts57498.2023.10925267.
Texto completo da fonteKarle, Christian, Marc Neu, Benjamin Nuss, Lukas Witte, Andre Scheder, Eva Waldner, Ema Shkurtaj, Tanja Harbaum e Jürgen Becker. "Scalable Multi-Level Synchronization Technique of Distributed Multi-RFSoC-Server Systems for 6G". In 2024 IEEE 37th International System-on-Chip Conference (SOCC), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/socc62300.2024.10737777.
Texto completo da fonteRelatórios de organizações sobre o assunto "Rfsoi"
Diehl, William, e Edward Viveiros. Xilinx RF System-on-Chip (RFSoC) 100 Gigabit Ethernet Loop-back Demonstration. Aberdeen Proving Ground, MD: DEVCOM Army Research Laboratory, janeiro de 2022. http://dx.doi.org/10.21236/ad1156777.
Texto completo da fonte